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QNT 275 Entire Course (2 Set, No Final Guide)

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This Tutorial contains 2 Papers for each Assignment

QNT 275 Week 1 Individual Assignment Statistics in Business (2 Papers) QNT 275 Week 2 Individual Assignment Activity Data Set (Little Town Cafe) QNT 275 Week 2 Assignment Mini-Project 3-2 QNT 275 Week 3 CLO Business Decision Making Project Part 1 (2 Papers) QNT 275 Week 4 CLO Business Decision Making Project Part 2 (2 Papers) QNT 275 Week 5 CLO Business Decision Making Project Part 3 (2 PPT) QNT 275 Week 4 Linear Regression Case 12.1 QNT 275 Week 3 Probability Case Study 5.2


QNT 275 Week 1 Practice Set QNT 275 Week 2 Practice Set QNT 275 Week 3 Practice Set QNT 275 Week 4 Practice Set QNT 275 Week 5 Practice Set

QNT 275 Week 1 DQ 1 QNT 275 Week 1 DQ 2 QNT 275 Week 1 DQ 3

QNT 275 Week 2 DQ 1 QNT 275 Week 2 DQ 2 QNT 275 Week 2 DQ 3 QNT 275 Week 3 DQ 1 QNT 275 Week 3 DQ 2 QNT 275 Week 3 DQ 3 QNT 275 Week 4 DQ 1 QNT 275 Week 4 DQ 2 QNT 275 Week 4 DQ 3 QNT 275 Week 5 DQ 1 QNT 275 Week 5 DQ 2 QNT 275 Week 5 DQ 3 **********************************


QNT 275 Entire Course (2 Set, With Final Guide)

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This Tutorial contains 2 Papers for each Assignment QNT 275 Final Exam Guide (New, 2017) QNT 275 Week 1 Individual Assignment Statistics in Business (2 Papers) QNT 275 Week 2 Individual Assignment Activity Data Set (Little Town Cafe) QNT 275 Week 2 Assignment Mini-Project 3-2 QNT 275 Week 3 CLO Business Decision Making Project Part 1 (2 Papers) QNT 275 Week 4 CLO Business Decision Making Project Part 2 (2 Papers) QNT 275 Week 5 CLO Business Decision Making Project Part 3 (2 PPT) QNT 275 Week 4 Linear Regression Case 12.1 QNT 275 Week 3 Probability Case Study 5.2


QNT 275 Week 1 Practice Set QNT 275 Week 2 Practice Set QNT 275 Week 3 Practice Set QNT 275 Week 4 Practice Set QNT 275 Week 5 Practice Set

QNT 275 Week 1 DQ 1 QNT 275 Week 1 DQ 2 QNT 275 Week 1 DQ 3

QNT 275 Week 2 DQ 1 QNT 275 Week 2 DQ 2 QNT 275 Week 2 DQ 3 QNT 275 Week 3 DQ 1 QNT 275 Week 3 DQ 2 QNT 275 Week 3 DQ 3 QNT 275 Week 4 DQ 1 QNT 275 Week 4 DQ 2 QNT 275 Week 4 DQ 3 QNT 275 Week 5 DQ 1 QNT 275 Week 5 DQ 2


QNT 275 Week 5 DQ 3 ********************************** QNT 275 Final Exam Guide (New, 2018)

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1 To make tests of hypotheses about more than two population means, we use the: t distribution normal distribution chi-square distribution analysis of variance distribution

2 You randomly select two households and observe whether or not they own a telephone answering machine. Which of the following is a simple event? At most one of them owns a telephone answering machine. At least one of them owns a telephone answering machine. Neither of the two owns a telephone answering machine. Exactly one of them owns a telephone answering machine.

3 In a one-way ANOVA, we analyze only one:


population mean variable sample

4 The regression model y = A + Bx + e is: an exact relationship a probabilistic model a nonlinear model a deterministic model

5 For a goodness-of-fit test, the frequencies obtained from the performance of an experiment are the: objective frequencies observed frequencies subjective frequencies expected frequencies

6 The mean of a discrete random variable is the mean of its: frequency distribution second and third quartiles percentage distribution probability distribution

7


A researcher wants to test if the mean annual salary of all lawyers in a city is different than $110,000. The null hypothesis for this example will be that the population mean is: greater than to $110,000 not equal to $110,000 equal to $110,000 less than to $110,000 8 Which of the following pairs of events are mutually exclusive? Female and no Female and yes Female and male No and yes 9 In a hypothesis test, a Type I error occurs when: a false null hypothesis is not rejected a true null hypothesis is rejected a true null hypothesis is not rejected a false null hypothesis is rejected 10 You toss a coin nine times and observe 3 heads and 6 tails. This event is a: multiple outcome simple event multinomial sample point compound event 11 The graph of a cumulative frequency distribution is a(n): stem-and-leaf display frequency histogram ogive


line graph 12 What is the critical value of t for the hypothesis test? 2.441 2.449 2.733 2.738 13 An error that occurs because of chance is called: mean error probability error sampling error nonsampling error 14 A researcher wants to test if elementary school children spend less than 30 minutes per day on homework. The alternative hypothesis for this example will be that the population mean is: equal to 30 minutes not equal to 30 minutes less than or equal to 30 minutes less than 30 minutes 15 A quantitative variable is the only type of variable that can: have no intermediate values be used to prepare tables assume numeric values for which arithmetic operations make sense be graphed


16 The p-value is the: largest significance level at which the alternative hypothesis can be rejected smallest significance level at which the null hypothesis can be rejected largest significance level at which the null hypothesis can be rejected smallest significance level at which the null hypothesis can be rejected

17 If you divide the number of elements in a sample with a specific characteristic by the total number of elements in the sample, the dividend is the: sampling distribution sample distribution sample mean sample proportion

18 A linear regression: gives a relationship between two variables that can be described by a line gives a relationship between two variables that cannot be described by a line gives a relationship between three variables that can be described by a line contains only two variables


19A continuous random variable x has a right-skewed distribution with a mean of 80 and a standard deviation of 12. The sampling distribution of the sample mean for a sample of 50 elements taken from this population is: skewed to the left not normal approximately normal skewed to the right 20 Which of the following assumptions is not required to use ANOVA? All samples are of the same size. The samples drawn from different populations are random and independent. The populations from which the samples are drawn are (approximately) normally distributed. The populations from which the samples are drawn have the same variance. 21 The model y = A + Bx is a: nonlinear model stochastic model probabilistic model deterministic model 22 In a hypothesis test, a Type II error occurs when: a false null hypothesis is rejected a true null hypothesis is rejected a true null hypothesis is not rejected a false null hypothesis is not rejected 23 Two paired or matched samples would imply that:


data are collected on two variables from the elements of two independent samples two data values are collected from the same source (elements) for two dependent samples two data values are collected from the same source (elements) for two independent samples data are collected on one variable from the elements of two independent samples 24 What is the critical value of z for the hypothesis test? -2.05 -2.33 -2.17 -1.96 25 A qualitative variable is the only type of variable that: can assume an uncountable set of values cannot be measured numerically cannot be graphed can assume numerical values 26 The alternative hypothesis is a claim about a: statistic, where the claim is assumed to be false until it is declared true parameter, where the claim is assumed to be true until it is declared false statistic, where the claim is assumed to be true if the null hypothesis is declared false parameter, where the claim is assumed to be true if the null hypothesis is declared false 27 For small degrees of freedom, the chi-square distribution is:


rectangular skewed to the left symmetric skewed to the right 28 We can use the analysis of variance procedure to test hypotheses about: the proportion of one population two or more population proportions two or more population means the mean of one population 29 For a one-tailed test, the p-value is: twice the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis twice the area under the curve between the mean and the observed value of the sample statistic the area under the curve between the mean and the observed value of the sample statistic 30 The mean of a discrete random variable is its: second quartile box-and-whisker measure upper hinge expected value ********************************** QNT 275 Week 1 DQ 1 For more classes visit www.snaptutorial.com


What is the importance of statistics in business decision making? Describe a business situation where statistics was used in making a decision. ********************************** QNT 275 Week 1 DQ 2

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Select four variables, other than what your fellow students have already selected, that could be measured by nominal, ordinal, interval, and ratio scale. Classify them by measurement scale and select descriptive statistics that can be used to summarize data. Use the following table when posting your response: Variable Level of Measurement Descriptive Stat and Justify Selection Nominal

Ordinal

Interval


Ratio **********************************

QNT 275 Week 1 DQ 3

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How do we define measurement? What are various levels of measurement? How do you select measurement levels when developing a survey or data collection tool? Explain with examples. ********************************** QNT 275 Week 1 Individual Assignment Statistics in Business (2 Papers)

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This Tutorial contains 2 Papers Develop a 875-word response that addresses each of the following prompts: ยง Define statistics with citation and reference.


ยง Contrast quantitative data and qualitative data. Use two Peer Reviewed references. ยง Evaluate tables and charts used to represent quantitative and qualitative data. ยง Describe the levels of data measurement. ยง Describe the role of statistics in business decision-making. ยง Provide at least two business research questions, or problem situations, in which statistics was used or could be used. Use two peer reviewed references. Format your assignment consistent with APA guidelines. Click the Assignment Files tab to submit your assignment. ********************************** QNT 275 Week 1 Practice Set

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The following table lists the number of deaths by cause as reported by the Centers for Disease Control and Prevention on February 6, 2015:

Cause of Death Number of Deaths Heart disease 611,105 Cancer 584,881 Accidents 130,557 Stroke 128,978


Alzheimer’s disease 84,767 Diabetes 75,578 Influenza and Pneumonia 56,979 Suicide 41,149

What is the variable for this data set (use words)? How many observations are in this data set (numeral)? How many elements does this data set contain (numeral)?

Indicate which of the following variables are quantitative and which are qualitative. Note: Spell quantitative and qualitative in lower case letters. The amount of time a student spent studying for an exam The amount of rain last year in 30 cities The arrival status of an airline flight (early, on time, late, canceled) at an airport A person’s blood type The amount of gasoline put into a car at a gas station A local gas station collected data from the day’s receipts, recording the gallons of gasoline each customer purchased. The following table lists the frequency distribution of the gallons of gas purchased by all customers on this one day at this gas station.

Gallons of Gas Number of Customers 4 to less than 8 78


8 to less than 12 49 12 to less than 16 81 16 to less than 20 117 20 to less than 24 13

How many customers were served on this day at this gas station? Find the class midpoints. Do all of the classes have the same width? If so, what is this width? If not, what are the different class widths? What percentage of the customers purchased between 4 and 12 gallons? (do not include % sign. Round numerical value to one decimal place)

The following data give the one-way commuting times (in minutes) from home to work for a random sample of 50 workers.

23 17 34 26 18 33 46 42 12 37 44 15 22 19 28 32 18 39 40 48 16 11 9 24 18 26 31 7 30 15 18 22 29 32 30 21 19 14 26 37 25 36 23 39 42 46 29 17 24 31 What is the frequency for each class 0–9, 10–19, 20–29, 30–39, and 40–49. Calculate the relative frequency and percentage for each class. What percentage of the workers in this sample commute for 30 minutes or more? Note: Round relative frequency to two decimal places. Complete the table by calculating the frequency, relative frequency, and percentage.


Commuting Times

Frequency (part a)

Relative Frequency (part c) Percentage (%) (part d) 0-9 ? 0.?? ? 10-19 ? 0.?? ? 20-29 ? 0.?? ? 30-39 ? 0.?? ? 40-49 ? 0.?? ?

The following data give the number of text messages sent on 40 randomly selected days during 2015 by a high school student. 32 33 33 34 35 36 37 37 37 37 38 39 40 41 41 42 42 42 43 44 44 45 45 45 47 47 47 47 47 48 48 49 50 50 51 52 53 54 59 61

Each stem has been displayed (left column). Complete this stemand-leaf display for these data.


Note: Use a space in between each leaf. For example 1 2 3 4 5 6 7 8 9 (do not use this format 123456789). 3 ?… 4 ?… 5 ?… 6 ?…

6 A) Which of the five measures of center (the mean, the median, the trimmed mean, the weighted mean, and the mode) can be calculated for quantitative data only. B) Which can be calculated for both quantitative and qualitative data?

Prices of cars have a distribution that is skewed to the right with outliers in the right tail. Which of the measures of center is the best to summarize this data set?

The following data give the amounts (in dollars) of electric bills for November 2015 for 12 randomly selected households selected from a small town. 205 265 176 314 243 192 297 357 238 281 342 259 Calculate the (a) mean, (b) median and (c) Is there a mode (Yes or No)?


The following data give the prices of seven textbooks randomly selected from a university bookstore.

$89 $170 $104 $113 $56 $161 $147 a) Find the mean for these data (input the numerical value without the dollar sign). Calculate the deviations of the data values from the mean. b) Is the sum of these deviations zero (yes or no)? c) Calculate the range (do not include unit). d) Calculate the variance. e) Calculate the standard deviation (round to one decimal place).

The following data give the speeds of 13 cars (in mph) measured by radar, traveling on I-84.

73 75 69 68 78 69 74 76 72 79 68 77 71 Find the values of the three quartiles and the interquartile range. Calculate the (approximate) value of the 35th percentile (round to two decimal places). Compute the percentile rank of 71 (round to two decimal places. Do not include the % symbol).

Note: Round to two decimal places. Do not include unit. **********************************


QNT 275 Week 2 Assignment Mini-Project 3-2

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You are employed as a statistician for a company that makes household products, which are sold by part-time salespersons who work during their spare time. The company has four salespersons employed in a small town. Let us denote these salespersons by A, B, C, and D. The sales records (in dollars) for the past 6 weeks for these four salespersons are shown in the table below. Week A B C D 1 1774 2205 1330 1402 2 1808 1507 1295 1665 3 1890 2352 1502 1530 4 1932 1939 1104 1826 5 1855 2052 1189 1703 6 1726 1630 1441 1498 Your supervisor has asked you to prepare a brief report comparing the sales volumes and the consistency of sales of these four salespersons. Use the mean sales for each salesperson to compare the sales volumes.


Choose an appropriate statistical measure to compare the consistency of sales. Make the calculations and write a 700-word report comparing the sales volumes and the consistency of sales of these four salespersons. Format your assignment consistent with APA guidelines. Click the Assignment Files tab to submit your assignment. ********************************** QNT 275 Week 2 DQ 1

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Describe a business situation, other than what has already been selected by fellow students or selected from the team assignment, where mean and standard deviation can be used in decision making. Describe how calculation of mean and standard deviation can help in making a decision. ********************************** QNT 275 Week 2 DQ 2

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What are the various methods one can use to identify the shape of data distribution collected for research study? Why it is important to know the shape of distribution? How it can be used in decision making? Provide examples other than those already posted in class. ********************************** QNT 275 Week 2 DQ 3

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Select an article from a news magazine or research journal where data is displayed in a pie or bar chart. Describe the data displayed in the chart and what conclusion you could draw. ********************************** QNT 275 Week 2 Individual Assignment Activity Data Set (Little Town Cafe)

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Review the following business scenario: You are the manager in a small town in the lake district of a Midwestern state enjoys a robust tourist season during the summer


months, but has only a small population of residents during the off season. The Littletown Café adjusts the levels of staff according to the time of year, to coincide with the number of guests, with the tourist season typically starting around Memorial Day each year. One wait staff employee can serve 50 guests. When a bus staff employee is added, the pair can serve 75 guests. At 76 guests, the café adds a second wait staff employee, for a total of 2 waiters and one busser. Analysis of guest numbers can support future decisions about scheduling wait staff, dishwashers, and bus staff for the café. Download the data set. Review the data in the data set. Write a 700- to 1,050-word paper in which you: Explain why this is (or is not) a suitable sample of quantitative data for the business scenario. Evaluate the factors that would affect the validity of the data set. Evaluate the factors that would affect the reliability of the data set. Explain the steps you took to arrive at your conclusion about validity and reliability. Display the data set in a chart. Explain briefly why that chart type was selected. Calculate the measures of central tendency and variability (mean, median, mode, standard deviation) for the data. Explain the steps you followed to come your answer. Interpret the measures of central tendency and variability.What are three conclusions you can draw based on the data analysis? ********************************** QNT 275 Week 2 Individual Assignment Business Problem

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I2 (Week 2) Individual Assignment: Business Problem: Prepare a paper examining a business problem confronting your organization or an organization you know of that you feel could be addressed through the application of the business research process. Describe the problem. Then present the research purpose and one research question addressing an aspect of this problem. The question must contain the variable you will measure. Discuss the measured variable. Use the business research problem sample I2 as a guide. This paper should be between 300-600 words. Post to the individual assignment forum. Title the document file "Business Statistics Research Problem I2". Materials ********************************** QNT 275 Week 2 Mini- Project 3-3 (Movie Data Set)

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Purpose of Assignment This assignment provided students with practice in understanding the relationship of averages and standard deviation to make an informed business decision about the gross income performance of each movie genre. Students will learn to implement the use of these statistical measures for better business decision-making. Resources: Week 2 Videos; Week 2 Readings; Statistics Lab


Tutorial help on ExcelÂŽ and Word functions can be found on the MicrosoftÂŽ Office website. There are also additional tutorials via the web offering support for Office products. Assignment Steps Refer to Mini-Project Movie Data Set. Analyze and write a report summarizing this data. This report should include answers to at least the following questions: 1. Calculate the summary measures (the mean, standard deviation, five-number summary, and interquartile range) of the total gross income for each movie genre. 2. Which genre had greater variability in total gross income? Explain why. 3. Draw a box-and-whisker plot of a movie's length of time (minutes) by genre. Are there any differences in movie lengths when compared across genres? Are there any outliers? Use the mean movie gross income for each genre to compare the movie opening gross income. Choose an appropriate statistical measure to compare the consistency of movie gross income. Make the calculations and write a 700-word report comparing the total movie gross income and the consistency of movie opening gross by genre. Format your assignment consistent with APA guidelines. Click the Assignment Files tab to submit your assignment. ********************************** QNT 275 Week 2 Practice Set

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List the simple events for each of the following statistical experiments in a sample space. One roll of a die. Note: Separate your response with a comma (,). For example 22, 23, 24 Three tosses of a coin. Note: Use this notation for your answer. heads = H. tails = T. For example HT, TH One toss of a coin and one roll of a die. Note: Use this notation. Heads = H or numbers 1, 2, 3, 4, 5, 6 for the dice. For example H1 indicates heads and dice roll equal to 1.

Two students are randomly selected from a statistics class, and it is observed whether or not they suffer from math anxiety. Indicate which are simple and which are compound events. Both students suffer from math anxiety. Exactly one student suffers from math anxiety. The first student does not suffer and the second suffers from math anxiety. None of the students suffers from math anxiety.

A hat contains 40 marbles. Of them, 18 are red and 22 are green. If one marble is randomly selected out of this hat.


What is the probability that this marble is red (round to two decimal places)? What is the probability that this marble is green (round to two decimal places?

Two thousand randomly selected adults were asked whether or not they have ever shopped on the Internet. The following table gives a two-way classification of the responses.

Have Shopped Have Never Shopped Male 500 700 Female 300 500

If one adult is selected at random from these 2000 adults, find the probability that this adult has never shopped on the Internet. If one adult is selected at random from these 2000 adults, find the probability that this adult is a male. If one adult is selected at random from these 2000 adults, find the probability that this adult has shopped on the Internet given that this adult is a female. If one adult is selected at random from these 2000 adults, find the probability that this adult is a male given that this adult has never shopped on the Internet.

Find the joint probability of AAand BB for the following. P(A)=.36and P(B|A)=.87 P(B)=.53and P(A|B)=.22


Classify each of the following random variables as discrete or continuous. The time left on a parking meter The number of bats broken by a major league baseball team in a season The number of cars in a parking lot at a given time The price of a car The number of cars crossing a bridge on a given day The time spent by a physician examining a patient The number of books in a student’s bag

7. The following table gives the probability distribution of a discrete random variable x.

x0123456 P(x) .11 .19 .28 .15 .12 .09 .06

Find the following probabilities. P(1≤x≤4) Probability that xassumes a value less than 4. Probability that xassumes a value greater than 2.

A limousine has eight tires on it. A fleet of such limos was fit with a batch of tires that mistakenly passed quality testing. The following table lists the probability distribution of the number of defective tires on this fleet of limos where xxrepresents the number of defective tires on a limo and P(x) is the corresponding probability.


x012345678 P(x) .0454 .1723 .2838 .2669 .1569 .0585 .0139 .0015 .0008

Calculate the mean and standard deviation of this probability distribution. Give a brief interpretation of the values of the mean and standard deviation.

Let xxbe a discrete random variable that possesses a binomial distribution. Using the binomial formula, find the following probabilities. p(5) for n=8and p=.70 p(3) for n=4and p=.40 Verify your answers by using Table I of Appendix B.

Let xbe a discrete random variable that possesses a binomial distribution. What is the mean (round to three decimal places) What is the standard deviation of the probability distribution (round to three decimal places)? **********************************


QNT 275 Week 2 Quiz

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QNT 275 Week 2 Quiz

1. In order to summarize qualitative data, a useful tool is a __________. 2. A stem-and-leaf diagram is constructed by separating each value of a data set into two parts. What are these parts? 3. A recent survey of 200 small firms (annual revenue less than $10 million) asked whether an increase in the minimum wage would cause the firm to decrease capital spending. Possible responses to the survey question were: "Yes," "No," or "Don't Know." These data are best classified as ____________. 4. The accompanying chart shows the numbers of books written by each author in a collection of cookbooks. What type of chart is this? 5. A population consists of _________________. 6. Which of the following variables is quantitative? 7. Which of the following represents a population and a sample from that population? 8. ABC Plumbing wants to understand its customers’ perceptions of the quality of the company’s plumbing service calls. They plan to survey a sample of its customer base. What will ABC need to do to ensure that their data is valid and reliable? 9. Which of the following variables is qualitative?


********************************** QNT 275 Week 3 CLO Business Decision Making Project Part 1 (2 Papers)

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CLO Business Decision-Making Project Part 1

Identify a business problem or opportunity at a company where you work or with which you're familiar. This will be a business problem that you use for the individual assignments in Weeks 3-5. It should be a problem/opportunity for which gathering and analyzing some type of data would help you understand the problem/opportunity better. Identify a research variable within the problem/opportunity that could be measured with some type of data collection. Consider methods for collecting a suitable sample of either qualitative or quantitative data for the variable. Consider how you will know if the data collection method would be valid and reliable. Develop a 1,050-word analysis to describe a company, problem, and variable. Include the following in your submission:


• Identify the name and description of the selected company, • Describe the problem at that company, • Identify one research variable from that problem, • Describe the methods you would use for collecting a suitable sample of either qualitative or quantitative data for the variable (Note: do not actually collect any data) • Analyze how you will know if the data collection method would generate valid and reliable data (Note: do not actually collect any data) Format your assignment consistent with APA guidelines. Click the Assignment Files tab to submit your assignment. ********************************** QNT 275 Week 3 DQ 1

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An oil change shop advertised to change oil within 15 minutes. Based on the data collected on a typical day, what is the probability that oil change will take 15 minutes or less time? Based on the data, do you think the business claim is valid? Explain why or why not. Class Interval 6 to 10 minutes 11 to 15 minutes 16 to 20 minutes 21 to 25

Frequency 3 8 6 2


minutes More than 25 1 Minutes ********************************** QNT 275 Week 3 DQ 2

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What are some conditions under which business decisions are made using subjective probability concepts? Provide at least two examples of subjective probability. ********************************** QNT 275 Week 3 DQ 3

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What are the characteristics of standard normal distribution? The HR department of an organization collects data on employees' age, salary, level of education, gender, and ethnicity. Which data do you think is more likely to follow normal distribution? Explain why. **********************************


QNT 275 Week 3 Individual Assignment Descriptive Statistics (Score 85%)

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Individual Assignment: Descriptive Statistics: Identify a research problem different from the previous research problems that uses two different sets of the same type of data. Example: Sales from two different months or years. GPA's of men and women. Number of two different shelf items sold (Coke & Pepsi) by month over a year. Home sales prices in different suburbs, cities, counties or states. You wish to determine if there is a significant difference between the means of the data sets. Select data that have absolute zero measurements (Ratio data). You may use recorded data or made up data. The n sample size should be at least 10 in each set, but not more than 20. Prepare a paper describing the research problem, research purpose and one research question. Include a definition of the variables you are measuring. List the data. List alpha, the null and alternative hypothesis, and give a brief back ground. Do MegaStat descriptive statistics on the data and do data analysis describing the data. Do runs plot graphs. Interpret the Goodness of Fit (GOF) p-value to decide if the data is parametric (normal) or nonparametric. Conclude. Use the sample I3 Descriptive Statistics as a guide. This paper should be between 700-1000 words. Post as an Individual Assignment. Title the document file "Descriptive Statistics I3". **********************************


QNT 275 Week 3 Practice Set

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Let x be a continuous random variable. What is the probability that x assumes a single value, such as a (use numerical value)?

The following are the three main characteristics of a normal distribution. The total area under a normal curve equals _____. A normal curve is ___________ about the Consequently, 50% of the total area under a normal distribution curve lies on the left side of the mean, and 50% lies on the right side of the mean. Fill in the blank. The tails of a normal distribution curve extend indefinitely in both directions without touching or crossing the horizontal Although a normal curve never meets the ________ axis, beyond the points represented by µ – 3σto µ+ 3σ it becomes so close to this axis that the area under the curve beyond these points in both directions is very close to zero. For the standard normal distribution, find the area within one standard deviation of the mean that is, the area between μ − σ and μ + σ. Round to four decimal places.


Find the area under the standard normal curve. Round to four decimal places. between z = 0 and z = 1.95 between z = 0 and z = −2.05 between z = 1.15 and z = 2.37 from z = −1.53 to z = −2.88 from z = −1.67 to z = 2.24

The probability distribution of the population data is called the (1) Table 7.2 in the text provides an example of it. The probability distribution of a sample statistic is called its (2) _________. Table 7.5 in the text provides an example it. Probability distribution Population distribution Normal distribution Sampling distribution

___________ is the difference between the value of the sample statistic and the value of the corresponding population parameter, assuming that the sample is random and no non-sampling error has been made. Example 7–1 in the text displays sampling error. Sampling error occurs only in sample surveys.

Consider the following population of 10 numbers. 20 25 13 19 9 15 11 7 17 30 Find the population mean. Round to two decimal places. Rich selected one sample of nine numbers from this population. The sample included the numbers 20, 25, 13, 9, 15, 11, 7, 17, and 30. Calculate sampling error for this sample. Round to decimal places.


Fill in the blank. The F distribution is ________ and skewed to the right. The F distribution has two numbers of degrees of freedom: df for the numerator and df for the denominator. The units of an F distribution, denoted by F, are nonnegative.

Find the critical value of F for the following. Round to two decimal places. df = (3, 3) and area in the right tail = .05 df = (3, 10) and area in the right tail = .05 df = (3, 30) and area in the right tail = .05

The following ANOVA table, based on information obtained for three samples selected from three independent populations that are normally distributed with equal variances, has a few missing values. Source of Variation Degrees of Freedom Sum of Squares Mean Square Value of the Test Statistic Between 2 II 19.2813


Within 89.3677 III F = ___V__ = VII VI Total 12 IV

Find the missing values and complete the ANOVA table. Round to four decimal places. Using Îą = .01, what is your conclusion for the test with the null hypothesis that the means of the three populations are all equal against the alternative hypothesis that the means of the three populations are not all equal? Reject H0. Conclude that the means of the three populations are equal. Reject H0. Conclude that the means of the three populations are not equal. Do not reject H0. Conclude that the means of the three populations are equal. Do not reject H0. Conclude that the means are of the three populations are not equal. ********************************** QNT 275 Week 3 Probability Case Study 5.2

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Week 3 Learning Team Collaboration Discussion: Probability


Resource: Case Study 5.2 in Chapter 5 of Essentials of Business Statistics Calculate the requested probabilities for items 1-3. Discuss your findings for the probabilities. What was the smoking trend from 1997-2007?

Is this a discrete, continuous, or conditional probability? Why?

How do probabilities help you understand trends in data?

What steps might you recommend, related to smoking behavior, based on this trend? ********************************** QNT 275 Week 3 Quiz

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QNT 275 Week 3 Quiz Question 1: • You work in marketing for a company that produces work boots. Quality control has sent you a memo detailing the length of time before the boots wear out under heavy use. They find that the boots wear out in an average of 208 days, but the exact


amount of time varies, following a normal distribution with a standard deviation of 14 days. For an upcoming ad campaign, you need to know the percent of the pairs that last longer than six months-that is, 180 days. Use the empirical rule to approximate this percent. Question 2: For any normally distributed random variable with mean μ and standard deviation σ, the percent of the observations that fall between μ-2σ and μ+2σ is closest to _______. Question 3: • Which of the following is correct? Question 4: • What does it mean when we say that the tails of the normal curve are asymptotic to the x axis? Question 5: • The probability that a normal random variable is less than its mean is ____. Question 6: • Mutually exclusive and collectively exhaustive events _______________. Question 7: • Which of the following can be represented by a discrete random variable? Question 8: • What is probability? Question 9: • Which of the following can be represented by a continuous random variable? Question 10: • A continuous random variable has the uniform distribution on the interval [a, b] if its probability ********************************** QNT 275 Week 4 CLO Business Decision Making Project Part 2 (2 Papers)

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CLO Business Decision Making Project, Part 2 Use the same business problem/opportunity and research variable you wrote about in Week 3. Remember: do not actually collect any data; think hypothetically. Develop a 1,050-word report in which you: • Identify the types of descriptive statistics that might be best for summarizing the data, if you were to collect a sample. • Analyze the types of inferential statistics that might be best for analyzing the data, if you were to collect a sample. • Analyze the role probability or trend analysis might play in helping address the business problem. • Analyze the role that linear regression for trend analysis might play in helping address the business problem. • Analyze the role that a time series might play in helping address the business problem. Format your assignment consistent with APA guidelines. Click the Assignment Files tab to submit your assignment. ********************************** QNT 275 Week 4 DQ 1

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What is the difference between an independent and a dependent variable? Does a regression model imply causation? Explain why or why not. ********************************** QNT 275 Week 4 DQ 2

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Does correlation equal causation? Does the strength of correlation depend on the direction? What is the meaning of a zero correlation? Explain your answers. ********************************** QNT 275 Week 4 DQ 3

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What are the requirements that must be met for a regression analysis? What happens if these requirements are violated? Why is analysis of residuals important? ********************************** QNT 275 Week 4 Individual Assignment t-test I4


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Individual Assignment: t-test I4: Identify a research problem different from the previous research problems that uses two different sets of the same type of data. Any subject may be chosen. Some examples: Sales from two different months or years. GPA's of men and women. Number of two different shelf items sold (Coke & Pepsi) by month over a year. Home sales prices in different suburbs, cities, counties or states. You wish to determine if there is a significant difference between the means of the data sets. Select data that have absolute zero measurements (Ratio data). You may use recorded data or made up data. The n sample size should be at least 10 in each set, but not more than 29. Prepare a paper with a table of contents. Describe the research problem, research purpose and one research question. Include a definition of the variables you are measuring. List the data. List alpha, the null and alternative hypothesis, and give a brief back ground. Do MegaStat descriptive statistics on the data and do data analysis describing the data. Do runs plot graphs. Interpret the Goodness of Fit (GOF) p-value to decide if the data is parametric (normal) or nonparametric. t-test: Open Excel, log in both data sets. Go to Add Ins, Megastat, Hypothesis Tests, Compare Two Independent Groups, left mouse click highlight Group 1 then Group 2, OK. Conclude. Use the I4 sample as a guide. This paper should be between 900-1200 words. Post as an Individual assignment. Title the document file "t-test I4". **********************************


QNT 275 Week 4 Linear Regression Case 12.1

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Resource: Case Study 12.1 in Chapter 12 of Essentials of Business Statistics. Click the Sushi Restaurant Data Set link. Calculate the linear regression in item 1 of the case study. Discuss the following with your team: · Explain if simple regression or multiple regression is more appropriate for making predictions in this case. · Predict what will happen to sales based on unemployment rate and the level of advertising · Justify your predictions. ********************************** QNT 275 Week 4 Practice Set

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Find z for each of the following confidence levels. Round to two decimal places. 90% 95%


96% 97% 98% 99% For a data set obtained from a random sample, n = 81 and x = 48.25. It is known that σ = 4.8. What is the point estimate of μ? Round to two decimal places Make a 95% confidence interval for μ. What is the lower limit? Round to two decimal places. Make a 95% confidence interval for μ. What is the upper limit? Round to two decimal places. What is the margin of error of estimate for part b? Round to two decimal places. Determine the sample size (nfor the estimate of μ for the following. E = 2.3, σ = 15.40, confidence level = 99%. Round to the nearest whole number. E = 4.1, σ = 23.45, confidence level = 95%. Round to the nearest whole number. E = 25.9, σ = 122.25, confidence level = 90%. Round to the nearest whole number.

True or False. a.The null hypothesis is a claim about a population parameter that is assumed to be false until it is declared false. True False


An alternative hypothesis is a claim about a population parameter that will be true if the null hypothesis is false. True False The critical point(s) divide(s) is some of the area under a distribution curve into rejection and nonrejection regions. True False The significance level, denoted by α, is the probability of making a Type II error, that is, the probability of rejecting the null hypothesis when it is actually true. True False The nonrejection region is the area to the right or left of the critical point where the null hypothesis is not rejected. True False

You are given the null hypothesis. Select the correct alternative hypothesis. H0: μ = 5 hours, what is H1? left-tailed test right-tailed test two-tail test H0: μ = $105, what is H1? left-tailed test right-tailed test two-tail test


H0: μ = $47,000, what is H1? left-tailed test right-tailed test two-tail test H0: μ = 10 minutes, what is H1? left-tailed test right-tailed test two-tail test H0: μ = 30 hours, what is H1? left-tailed test right-tailed test two-tail test

Fill in the blank. The level of significance in a test of hypothesis is the probability of making a ________. It is the area under the probability distribution curve where we reject H0. Type I error Type II error Type III error Consider H0: μ = 45 versus H1: μ < 45. A random sample of 25 observations produced a sample mean of 41.8. Using α = .025 and the population is known to be normally distributed with σ = 6. What is the value of z? Round to two decimal places. Would you reject the null hypothesis? Reject Ho Do not reject Ho


The following information is obtained from two independent samples selected from two normally distributed populations. n1 = 18 x1 = 7.82 σ1 = 2.35 n2 =15

x2 =5.99

σ2 =3.17

What is the point estimate of μ1 − μ2? Round to two decimal places. Construct a 99% confidence interval for μ1 − μ2. Find the margin of error for this estimate. Round to two decimal places.

The following information is obtained from two independent samples selected from two populations. n1 =650

x1 =1.05

n2 =675

x2 =1.54

σ1 =5.22 σ2 =6.80

Test at a 5% significance level if μ1 is less than μ2. Identify the appropriate distribution to use. t distribution normal distribution

What is the conclusion about the hypothesis? Reject Ho Do not reject Ho


Using data from the U.S. Census Bureau and other sources, www.nerdwallet.com estimated that considering only the households with credit card debts, the average credit card debt for U.S. house- holds was $15,523 in 2014 and $15,242 in 2013. Suppose that these estimates were based on random samples of 600 households with credit card debts in 2014 and 700 households with credit card debts in 2013. Suppose that the sample standard deviations for these two samples were $3870 and $3764, respectively. Assume that the standard deviations for the two populations are unknown but equal. Let μ1 and μ2 be the average credit card debts for all such households for the years 2014 and 2013, respectively. What is the point estimate of μ1 − μ2? Round to two decimal places. Do not include the dollar sign. Construct a 98% confidence interval for μ1 − μ2. Round to two decimal places. Do not include the dollar sign. What is the lower bound? Round to two decimal places. What is the upper bound? Round to two decimal places. Using a 1% significance level, can you conclude that the average credit card debt for such households was higher in 2014 than in 2013? Use both the p-value and the critical-value approaches to make this test. Reject Ho Do not reject Ho **********************************


QNT 275 Week 4 Presentation (13 and 14)

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Prepare an 11- to 15-slide Microsoft® PowerPoint® presentation for the senior management team based on the business problem or opportunity you described 13 and 14 Include on the slides what you would want the audience to see (include appropriate visual aids/layout). In the Speaker Notes section, include what you would say as you present each slide. If any source material is quoted or paraphrased in the presentation, use APA citations and references. Draw on material you developed in the 13 Research Problem and 14 Research Problem Include the following in your presentation: · Introduction slide · Agenda slide · Describe the organization, with a brief description · Explain the business problem or opportunity · Analyze why the business problem is important · Identify what variable would be best to measure for this problem and explain why · Apply data analysis techniques to this problem (tell which techniques should be used: descriptive stats, inferential stats, probability) and explain why · Apply a possible solution to the problem/opportunity, with rationale


· Evaluate how data could be used to measure the implementation of such a solution · Conclusion · References slide (if any source material is quoted or paraphrased throughout the presentation) Format your assignment consistent with APA guidelines. ********************************** QNT 275 Week 4 Quiz

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QNT 275 Week 4 Quiz Question 1: • Serial correlation is typically observed in: Question 2: • Another name for an explanatory variable is the ___. Question 3: • Which of the following variables is not qualitative? Question 4: • Consider the following simple linear regression model: y=βo+β1^(x+ε) The response variable is: Question 5: • Which of the following violates the assumptions of regression analysis? Question 6: • In a simple linear regression model, if the plots on a scatter diagram lie on a straight line, what is the standard error of the estimate?


Question 7: • Consider the following simple linear regression model: y=βo+β1^(x+ε)β0 and β1 are: Question 8: • For a given set of explanatory variables, in general: Question 9: • The standard error of the estimate measures: Question 10: • What is the name of the variable that's used to predict another variable? ********************************** QNT 275 Week 5 Assignment Business Problem or Opportunity Presentation

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Prepare an 11- to 15-slide Microsoft® PowerPoint® presentation for the senior management team based on the business problem or opportunity you described in Weeks 3 and 5. Include on the slides what you would want the audience to see (include appropriate visual aids/layout). In the Speaker Notes section, include what you would say as you present each slide. If any source material is quoted or paraphrased in the presentation, use APA citations and references. Draw on material you developed in the Week 3 and 4 assignments. Include the following in your presentation: • Introduction slide • Agenda slide • Describe the organization, with a brief description • Explain the business problem or opportunity • Analyze why the business problem is important


• Identify what variable would be best to measure for this problem and explain why • Apply data analysis techniques to this problem (tell which techniques should be used: descriptive stats, inferential stats, probability) and explain why • Apply a possible solution to the problem/opportunity, with rationale • Evaluate how data could be used to measure the implementation of such a solution • Conclusion • References slide (if any source material is quoted or paraphrased throughout the presentation) Format your assignment consistent with APA guidelines. Click the Assignment Files tab to submit your assignment. ********************************** QNT 275 Week 5 CLO Business Decision Making Project Part 3 (2 PPT)

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This Tutorial contains 2 Presentations

CLO Business Decision Making Project, Part 3 Prepare an 11- to 15-slide Microsoft® PowerPoint® presentation for the senior management team based on the business problem or opportunity you described in Weeks 3-4.


Include on the slides what you'd want the audience to see (include appropriate visual aids/layout) and include in the Speaker's Notes section what you'd say as you present each slide. If any source material is quoted or paraphrased in the presentation, use APA citations and references. Draw on material you developed in the Weeks 3-4 assignments. Include the following in your presentation: • Introduction slide • Agenda slide • Describe the organization, with a brief description • Explain the business problem or opportunity • Analyze why the business problem is important • Identify what variable would be best to measure for this problem. Explain why. • Apply data analysis techniques to this problem (tell which techniques should be used: descriptive stats, inferential stats, probability, linear regression, time series). Explain why. • Apply a possible solution to the problem/opportunity, with rationale. • Evaluate how data could be used to measure the implementation of such a solution. • Conclusion • References slide (if any source material is quoted or paraphrased throughout the presentation) ********************************** QNT 275 Week 5 DQ 1

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How would you select appropriate statistical tests for analysis research data? What aspects of research questions or data types are relevant considerations in choosing your tests? Why? ********************************** QNT 275 Week 5 DQ 2

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How do you know you have validated a research study based on data gathered from primary or secondary sources? Have you been involved with any product test-marketing project? Explain. How did the resulting statistics affect the product's marketing strategy? How can organizations skew the statistical outcomes of their business research? ********************************** QNT 275 Week 5 DQ 3

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In what way has the learning from this course helped you to effectively test hypotheses, draw conclusions, and provide recommendations to management? Consider what you have achieved in your research study conducted for this course.


********************************** QNT 275 Week 5 Individual Assignment Final z-test (Set 2)

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Individual Assignment Final: z-test: Identify a research problem different from the previous research problems that uses two different sets of the same type of data. Example: Sales from two different months or years. GPA's of men and women. Number of two different shelf items sold (Coke & Pepsi) by month over a year. Home sales prices in different suburbs, cities counties or states. You wish to determine if there is a significant difference between the means of the data sets. Select data that have absolute zero measurements (Ratio data). You may use recorded data or made up data. The n sample size should be at least 30 in each set, but not more than 50. Prepare a paper with a table of contents. Describe the research problem, research purpose and one research question. Include a definition of the variables you are measuring. List the data. List alpha, the null and alternative hypothesis, and give a brief back ground. Do MegaStat descriptive statistics on the data and do data analysis describing the data. Do runs plot graphs. Interpret the Goodness of Fit (GOF) p-value to decide if the data is parametric (normal) or nonparametric. z-Test: Open Excel, log in both data sets. Go to Add Ins, Megastat, Hypothesis Tests, Compare Two Independent Groups, left mouse click highlight Group 1 then Group 2, check z-test in the box. OK. Conclude. Use the I5 sample as a guide. This paper should be


between 900-1200 words. Post as an Individual assignment. Title the document file "z-Test I5". ********************************** QNT 275 Week 5 Individual Assignment Final z-test

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Individual Assignment Final: z-test: Identify a research problem different from the previous research problems that uses two different sets of the same type of data. Example: Sales from two different months or years. GPA's of men and women. Number of two different shelf items sold (Coke & Pepsi) by month over a year. Home sales prices in different suburbs, cities counties or states. You wish to determine if there is a significant difference between the means of the data sets. Select data that have absolute zero measurements (Ratio data). You may use recorded data or made up data. The n sample size should be at least 30 in each set, but not more than 50. Prepare a paper with a table of contents. Describe the research problem, research purpose and one research question. Include a definition of the variables you are measuring. List the data. List alpha, the null and alternative hypothesis, and give a brief back ground. Do MegaStat descriptive statistics on the data and do data analysis describing the data. Do runs plot graphs. Interpret the Goodness of Fit (GOF) p-value to decide if the data is parametric (normal) or nonparametric.


z-Test: Open Excel, log in both data sets. Go to Add Ins, Megastat, Hypothesis Tests, Compare Two Independent Groups, left mouse click highlight Group 1 then Group 2, check z-test in the box. OK. Conclude. Use the I5 sample as a guide. This paper should be between 900-1200 words. Post as an Individual assignment. Title the document file "z-Test I5". ********************************** QNT 275 Week 5 Practice Set For more classes visit www.snaptutorial.com

1. This distribution has only one parameter. The curve is skewed to the right for small df and becomes symmetric for large df. The entire distribution curve lies to the right of the vertical axis. The distribution assumes nonnegative values only 1. t distribution 2. Normal distribution 3. Chi-square distribution 4. Linear regression. 2. Find the value of x2 for 12 degrees of freedom and an area of .025 in the right tail of the chisquare distribution curve. What is the value of chi-square? Round to three decimal places 3. Determine the value of x2 for 14 degrees of freedom and an area of .10 in the left tail of the


chi-square distribution curve. What is the value of chi-square? Round to three decimal places 4. Determine the value of x2 for 23 degrees of freedom and an area of .990 in the left tail of the chi-square distribution curve. What is the value of chi-square? Round to three decimal places. 5. Α ____________ compares the observed frequencies from a multinomial experiment with expected frequencies derived from a certain pattern or theoretical distribution. The test evaluates how well the observed frequencies fit the expected frequencies. 1. Goodness-of-fit test 2. Chi-square test 3. Linear regression 6. The __________ are the frequencies obtained from the performance of a multinomial experiment. The expected frequencies are the frequencies that we expect to obtain if the null hypothesis is true. 1. Observed frequencies 2. Expected frequencies 3. Fluctuating frequencies 7. The expected frequency of a category is given by Ε = np where n is the sample size and p is the probability that an element belongs to that category if the null hypothesis is true. The ________ for a goodness–of–fit test are k – 1, where k denotes the number of possible


outcomes (or categories) for the experiment. 1. Number of observations 2. Degrees of freedom 3. Total population 8. This model includes only two variables, one independent and one dependent, is called a _____1______. The ___2____ is the one being explained, and the ___3___ is the one used to explain the variation in the dependent Select the correct letter that would make the sentence true. 9. Select a letter from the list to make this statement true. 10. Select a letter from the list to make this statement true. 11. Select a letter from the list to make this statement true. 12. Linear model 13. Qualitative variable 14. Multivariate analysis of variance 15. Independent variable 16. Simple regression model 17. One-way Analysis of Variance 18. Dependent variable 19. Quantitative variable 9. A population data set produced the following information. N=460, ∑x=3920, ∑y=2650, ∑xy=26,570, ∑x2=48,530 Find the population regression line. Round to three decimal places. Use the format as an example when submitting your equation 456.123 + 789.123x 10. The following information is obtained from a sample data set. n=12, ∑x=66, ∑y=588, ∑xy=2244, ∑x2=396 Find the estimated regression line Use this format as an example when submitting your equation 123 – 45x **********************************

QNT 275 Education for Service--snaptutorial.com  

For more classes visit www.snaptutorial.com This Tutorial contains 2 Papers for each Assignment QNT 275 Week 1 Individual Assignment...

QNT 275 Education for Service--snaptutorial.com  

For more classes visit www.snaptutorial.com This Tutorial contains 2 Papers for each Assignment QNT 275 Week 1 Individual Assignment...

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