QNT 275 Final Exam Guide (New, 2019, 100% Score)

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www.tutorialrank.com 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 Apply Connect Week 1 Exercise For more course tutorials visit

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QNT 275 Week 1 Apply Connect Week 1 Exercise Review the glossary in your textbook in preparation for this assignment. Complete the Week 1 Exercise in Connect. Note: You have only 1 attempt available to complete assignments. 1. Define Ratio Variable.

A variable having values that are numbers which reflect quantities or measurements. A characteristic from a sample or population that can assume different values for individual elements (members) of the sample or population. A quantitative variable such that ratios of its values are meaningful and for which there is an inherently defined zero value. Facts and figures from which conclusions may be drawn, generally for a specific study or issue.

2. Define Inferential Statistics.

Efforts to mislead users of statistical information including biased sampling, misleading chart, table and descriptive measures, and inappropriate analysis or inappropriate interpretation of the results.

The process of using a sample of measurements/values to make generalizations about the important aspects of a population of measurements/values. A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum). A sample selected in such a way that every element in the population has an equal chance of being selected.

3. Define Variable.

A characteristic from a sample or population that can assume different values for individual elements (members) of the sample or population. A variable having values that indicate into which of several categories the value for the respective sample or population element belongs. Data collected over several time periods. A variable having values that are numbers which reflect quantities or measurements.

4. Define Stratified Sampling.

Efforts to mislead users of statistical information including biased sampling, misleading chart, table and descriptive measures, and inappropriate analysis or inappropriate interpretation of the results. A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum). A qualitative variable value for which there is no ordering or ranking; data values are not numerical and fit into categories. A qualitative variable value for which there is ordering or ranking.

5. Define Sample.

The process of organizing and describing important elements of a set of values. A sample selected in such a way that every element in the population has an equal chance of being selected. The process of using a sample of measurements/values to make generalizations about the important aspects of a population of measurements/values. A subset of the elements in a population.

6. Define Ordinal Variable.

A quantitative variable such that ratios of its values are not meaningful and for which there is not an inherently defined zero value. Facts and figures from which conclusions may be drawn, generally for a specific study or issue. A quantitative variable such that ratios of its values are meaningful and for which there is an inherently defined zero value. A qualitative variable value for which there is ordering or ranking.

7. Define Descriptive Statistics.

The process of using a sample of measurements/values to make generalizations about the important aspects of a population of measurements/values. A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum). The process of organizing and describing important elements of a set of values. A sample selected in such a way that every element in the population has an equal chance of being selected.

8.

Define Random Sampling.

A sampling design in which we divide a population into subgroups that do not overlap, then select a random sample from each subgroup (stratum). A sample selected in such a way that every element in the population has an equal chance of being selected. A qualitative variable value for which there is no ordering or ranking; data values are not numerical and fit into categories. Efforts to mislead users of statistical information including biased sampling, misleading chart, table and descriptive measures, and inappropriate analysis or inappropriate interpretation of the results.

9. Define Qualitative Variable.

A variable having values that indicate into which of several categories the value for the respective sample or population element belongs. Data collected over several time periods. The set of all elements about which we want to draw conclusions. A subset of the elements in a population.

10.

Define Interval Variable.

Facts and figures from which conclusions may be drawn, generally for a specific study or issue. A quantitative variable such that ratios of its values are not meaningful and for which there is not an inherently defined zero value. A quantitative variable such that ratios of its values are meaningful and for which there is an inherently defined zero value. A characteristic from a sample or population that can assume different values for individual elements (members) of the sample or population. **********************************************

QNT 275 Week 1 DQ 1 For more course tutorials visit www.tutorialrank.com Tutorial Purchased: 6 Times, Rating: A+

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 For more course tutorials visit www.tutorialrank.com Tutorial Purchased: 6 Times, Rating: A+

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) For more course tutorials visit

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This Tutorial contains 2 Papers

Develop a 875-word response that addresses each of the following prompts:

Define statistics with citation and reference. Contrast quantitative data and qualitative data. Use two Peer Reviewed references. Evaluate tables and charts used to represent quantitative and qualitative data. Describe the levels of data measurement. Describe the role of statistics in business decision-making. 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 Connect Knowledge Check

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QNT 275 Week 1 Practice: Connect Knowledge Check Complete the Week 1 Knowledge Check in Connect. Note: You have unlimited attempts available to complete practice assignments.

1. Daily temperature in a local community collected over a 30-day time period is an example of cross-sectional data.

True False

2. Time series data are data collected at the same time period. True False

3. Primary data are data collected by an individual.

True False

4. A random sample is selected so that every element in the population has the same chance of being included in the sample.

True False

5. __________ consists of a set of concepts and techniques that are used to describe populations and samples.

Data mining Traditional statistics Random sampling

Time series analysis

6. A sequence of operations that takes inputs and turns them into outputs is a ____________.

statistical inference process random sampling runs plot

7. Processes produce outputs over time.

True False

8. _________ uses traditional or newer graphics to present visual summaries of business information.

Data mining Descriptive analytics Predictive analytics Association learning

9. The number of sick days taken by employees in 2008 for the top 10 technology companies is an example of time series data.

True False

10. A population is a set of existing units.

True False

11.

A(n) _____________ variable is a qualitative variable such that there is no meaningful ordering or ranking of the categories.

interval ordinal ratio nominative

12. Judgment sampling occurs when a person who is extremely knowledgeable about the population under consideration selects the population element(s) that they feel is(are) most representative of the population.

True False

A population is a set of existing units. True False

Processes produce outputs over time. True False

Primary data are data collected by an individual. True False

It is possible to use a random sample from a population to make statistical inferences about the entire population. True False

The term big data was derived from the use of survey data. True False

_________ uses traditional or newer graphics to present visual summaries of business information. Predictive analytics Data mining

Descriptive analytics Association learning

An example of a qualitative variable is the mileage of a car. True False Any characteristic of an element is called a ____________. process set variable D)census

A sequence of operations that takes inputs and turns them into outputs is a ____________. random sampling statistical inference process runs plot

Daily temperature in a local community collected over a 30-day time period is an example of cross-sectional data. True False

An example of a quantitative variable is the manufacturer of a car. True False

Cross-sectional data are data collected at the same point in time. True False **********************************************

QNT 275 Week 1 Practice Set For more course tutorials visit

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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 Alzheimerâ€™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 personâ€™s blood type The amount of gasoline put into a car at a gas station

A local gas station collected data from the dayâ€™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 stem-andleaf 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 Apply Connect Week 2 Case For more course tutorials visit

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QNT 275 Week 2 Apply: Connect Week 2 Case Part 1

You manage the inventory for a car dealership. Your management would like you to review current inventory on the dealership lot.

Review the Week 2 Data Set.

Create and calculate the following in ExcelÂŽ:

Create a Pie Chart which summarizes colors of the cars in the sample. Create a Bar Chart which summarizes the frequency of the models of the cars in the sample. Create a Frequency Table for classes of MPG, including Frequency and Relative Frequency for the cars in the sample. Calculate the mean Days in Inventory for the cars in the sample. Compare that to the median and the mode.

Highlight the value that would be a better representation of the “typical” price of a car in inventory? Calculate the standard deviation of the Days in Inventory for the cars in the sample. Calculate the 5 number summary for the suggested retail prices of the cars in the sample. This consists of the 1st, 2nd, 3rd, 4th quartile and the IQR. Note: Part 1 is not submitted. It is only to be completed in preparation for Part 2.

Part 2

Reference your Excel® spreadsheet from Part 1.

Complete the Week 2 Case in Connect.

Note: You have only 1 attempt available to complete assignments.

Sample Car # Color MPG Suggest Retail Price Option Package Days in Inventory 1 Grey 27.6 $24,390.00 LX 1 2 Grey 32.4 $21,780.00 Touring 10 3 Blue 33.2 $21,149.00 Touring 28

4 Black 34.7 $22,069.00 LX 21 5 Blue 27.2 $22,532.00 Touring 16 6 Blue 26.6 $20,345.00 Touring 22 7 Red 37.3 $22,112.00 EX 12 8 Silver 34.9 $21,289.00 Touring 23 9 Silver 29.6 $24,871.00 LX 15 10 Silver 32.3 $25,389.00 EX 8 11 Grey 31.9 $25,998.00 EX 28 12 Red 26.4 $19,713.00 LX 55 13 Black 34.8 $25,213.00 EX 2 14 Silver 35.9 $24,467.00 Touring 33 15 Black 34.6 $21,402.00 LX 17 16 Black 33.3 $20,351.00 LX 14 17 Grey 33.1 $23,732.00 Touring 1 18 Red 37.5 $24,558.00 Touring 2 19 Red 27.8 $19,167.00 LX 18 20 Red 36.1 $19,903.00 Touring 22 21 Blue 28.8 $22,140.00 Touring 19 22 Red 26.2 $22,180.00 EX 41 23 Silver 27.4 $23,120.00 Touring 33

24 Black 34.9 $19,837.00 Touring 21 25 Red 36.5 $24,666.00 EX 31 26 Red 26.3 $19,446.00 EX 35 27 Blue 31.4 $23,954.00 Touring 11 28 Blue 30.9 $21,201.00 LX 3 29 Red 27.4 $21,346.00 EX 26 30 Red 36 $19,406.00 EX 31 **********************************************

QNT 275 Week 2 Assignment MiniProject 3 2 For more course tutorials visit

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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 For more course tutorials visit www.tutorialrank.com Tutorial Purchased: 6 Times, Rating: A+

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 For more course tutorials visit www.tutorialrank.com Tutorial Purchased: 6 Times, Rating: A+

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 For more course tutorials visit www.tutorialrank.com Tutorial Purchased: 6 Times, Rating: A+

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) For more course tutorials visit

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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.Whatare three conclusions you can draw based on the data analysis? **********************************************

QNT 275 Week 2 Individual Assignment Business Problem For more course tutorials visit

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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, fivenumber 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 Analysis Tool Pak Installation For more course tutorials visit

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QNT 275 Week 2 Practice: Analysis ToolPak Installation Complete the steps indicated in the â€œInstalling the Analysis ToolPakâ€? video to prepare for this weekâ€™s assignment.

Take a screenshot of the Data tab showing the installed toolpak. Click on the Assignment Files tab to submit your screenshot. **********************************************

QNT 275 Week 2 Practice Connect Knowledge Check For more course tutorials visit

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QNT 275 Week 2 Practice: Connect Knowledge Check Complete the Week 2 Knowledge Check in Connect. Note: You have unlimited attempts available to complete practice assignments. 1. In a statistics class, 10 scores were randomly selected with the following results: 74, 73, 77, 77, 71, 68, 65, 77, 67, 66. What is the IQR?

11.00 10

5.00 5.25 12.00

2. A quantity that measures the variation of a population or a sample relative to its mean is called the ____________.

range interquartile range standard deviation coefficient of variation variance

3. An observation separated from the rest of the data is a(n) ___________.

absolute extreme outlier quartile mode

4. Quality control is an important issue at ACME Company, which manufactures light bulbs. To test the life-hours of their light bulbs, they randomly sampled nine light bulbs and measured how many hours they lasted: 378, 361, 350, 375, 200, 391, 375, 368, 321. What is the mean?

375 389.9 368 346.6 200

5.

In a statistics class, 10 scores were randomly selected with the following results (mean = 71.5): 74, 73, 77, 77, 71, 68, 65, 77, 67, 66. What is the range?

516.20 144.00 22.72 4.77 12.00

6. Which percentile describes the first quartile, Q1?

25th 100th 75th 50th

7. Personnel managers usually want to know where a job applicant ranked in his or her graduating class. With a grade point average of 3.83, Michelle Robinson graduated above the 93rd percentile of her graduating class. What is the percentile rank of a student whose GPA was the median GPA.

75th 50th 25th 93rd 10th

8. All of the following are measures of central tendency except the ____________.

mode range mean median

9. Quality control is an important issue at ACME Company, which manufactures light bulbs. To test the life-hours of their light bulbs, they randomly sampled nine light bulbs and measured how many hours they lasted (mean = 346.6). 378, 361, 350, 375, 200, 391, 375, 368, 321 What is the range?

58.5 191 3424.3 10,609 342.43

10. The local amusement park was interested in the average wait time at their most popular roller coaster at the peak park time (2 p.m.). They selected 13 patrons and had them get in line between 2 and 3 p.m. Each was given a stopwatch to record the time they spent in line. The times

recorded were as follows (in minutes): 118, 124, 108, 116, 99, 120, 148, 118, 119, 121, 45, 130, 118. What is the mean?

115.5 148 118 114.15 45

11. The local amusement park was interested in the average wait time at their most popular roller coaster at the peak park time (2 p.m.). They selected 13 patrons and had them get in line between 2 and 3 p.m. Each was given a stopwatch to record the time they spent in line. The times recorded were as follows (in minutes): 118, 124, 108, 116, 99, 120, 148, 118, 119, 121, 45, 130, 118. What is the median?

118 115.5 45

114.15 148

12. When establishing the classes for a frequency table, it is generally agreed that the more classes you use the better your frequency table will be.

True False **********************************************

QNT 275 Week 2 Practice Set For more course tutorials visit

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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 studentâ€™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(1â‰¤xâ‰¤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 For more course tutorials visit

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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 customersâ€™ perceptions of the quality of the companyâ€™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?

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QNT 275 Week 3 Apply Connect Week 3 Case For more course tutorials visit

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QNT 275 Week 3 Apply: Connect Week 3 Case

Part 1

Three hundred consumers between 21 and 49 years old were randomly selected. After sampling a new wine cooler, each was asked to rate the appeal of the phrase: “Not sweet like wine coolers, not filling like beer, and more refreshing than wine or mixed drinks” as it relates to the new wine cooler. The rating was made on a scale from 1 to 5, with 5 representing “extremely appealing” and with 1 representing “not at all appealing”.

As a manager overseeing the development of the concept, you bottle the wine cooler and placed it into distribution in one test store.

Your manager has asked you to assess the data and determine the most likely customer based on the ratings. Additionally, your manager would like you to review sales in the test store.

Use the Week 3 Data Set to create and calculate the following in Excel®:

Estimate the probability that a randomly selected 21 to 49 year old consumer:

Would give the phrase a rating of 5 Would give the phrase a rating of 3 or higher Is in the 21-24 age group Is a male who gives the phrase a rating of 4 Is a 35 to 49 year old who gives the phrase a rating of 1 Based on the probabilities for the ratings of 4 and 5, which age/gender demographic would be the best target audience for the new concept? Create a probability distribution using the data which shows how many cartons of the wine cooler were bought per customer in a month. Calculate the mean and the standard deviation of your probability distribution. Calculate the probability that exactly 3 six packs will be bought in a month. Calculate the probability that between 4 and 8 six packs will be bought in a month. Calculate the probability that at least 5 six packs will be bought in a month. Calculate the probability that no more than 5 six packs will be bought in a month. Create a relative frequency distribution based on the wine cooler drinking temperatures. Create 6 bins with the same interval in each. Create a histogram

Considering the mean and standard deviation for the ideal drinking temperature: Calculate z values then refer to Table 6.1 â€“ Cumulative Areas Under the Standard Normal Curve Calculate the probability of the wine cooler being less than 45 degrees. Calculate the probability of the wine cooler being greater than 60 degrees. Calculate the percentage of wine coolers served at the ideal temperature, between 49 and 55 degrees. Part 2

Reference your ExcelÂŽ spreadsheet from Part 1.

Complete the Week 3 Case in Connect.

Note: You have only 1 attempt available to complete assignments.

RESULTS OF CONCEPT RATING FOR NEW WINE COOLER Rating of the appeal of the phrase as it relates to the new wine cooler Total Sample Gender Age

Male Female 21 â€“ 24 25 -34 35-49 Extremely appealing (5) 151 68 83 48 63 40 Somewhat appealing (4) 91 51 40 36 32 23 Neither appealing nor not appealing (3) 36 21 15 9 16 11 Somewhat unappealing (2) 13 7 6 4 6 3 Not at all appealing (1) 9 3 6 4 3 2

QUANTITY PURCHASED PER PERSON IN ONE MONTH # of six packs purchased # people who purchased this amount 07 16 26 3 13 4 14 5 12 6 10 75 85 95

10 2

IDEAL TEMPERATURE 40 41 41 41 42 42 43 44 44 47 47 47 47 48 49 49

49 51 54 54 55 55 55 56 56 57 58 62 62 62 **********************************************

QNT 275 Week 3 CLO Business Decision Making Project Part 1 (2 Papers) For more course tutorials visit

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This Tutorial contains 2 Papers

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: â€˘ 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 For more course tutorials visit www.tutorialrank.com Tutorial Purchased: 6 Times, Rating: A+

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

Frequency

6 to 10 minutes 3 11 to 15 minutes 8 16 to 20 minutes 6 21 to 25 minutes 2 More than 25 Minutes

1

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QNT 275 Week 3 DQ 2 For more course tutorials visit www.tutorialrank.com Tutorial Purchased: 6 Times, Rating: A+

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

For more course tutorials visit www.tutorialrank.com Tutorial Purchased: 6 Times, Rating: A+

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%) For more course tutorials visit

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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 Connect Knowledge Check For more course tutorials visit

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QNT 275 Week 3 Practice: Connect Knowledge Check 1. A plant manager knows that the number of boxes of supplies received weekly is normally distributed with a mean of 200 and a standard

For more course tutorials visit www.tutorialrank.com 1 To make tests of hypotheses about more than two population means, we use the: t dist...

Published on Jun 13, 2019

For more course tutorials visit www.tutorialrank.com 1 To make tests of hypotheses about more than two population means, we use the: t dist...

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