Issuu on Google+

QNT 351 Entire Course And Final Guide

For more course tutorials visit www.Qnt351.com QNT 351 is a online tutorial store we provides QNT 351 Entire Course And Final Guide You can find here. -----------------------------------------------

QNT 351 Entire Course

For more course tutorials visit www.Qnt351.com QNT 351 Week 1 Individual Assignment Statistics in Business QNT 351 Week 1 DQ 1 QNT 351 Week 1 DQ 2 QNT 351 Week 1 DQ 3 QNT 351 Week 1 DQ 4 QNT 351 Week 1 DQ 5 QNT 351 Week 1 DQ 6 QNT 351 Week 2 Individual Assignment Data Collection QNT 351 Week 2 Individual Assignment My StatsLab 10 Problems QNT 351 Week 2 DQ 1 QNT 351 Week 2 DQ 2 QNT 351 Week 2 DQ 3


QNT 351 Week 2 DQ 4 QNT 351 Week 2 DQ 5 QNT 351 Week 3 Individual Assignment Real Estate Data QNT 351 Week 3 Team Assignment Summarizing and Presenting Data QNT 351 Week 3 DQ 1 QNT 351 Week 3 DQ 2 QNT 351 Week 3 DQ 3 QNT 351 Week 3 DQ 4 QNT 351 Week 3 Individual Assignment My StatsLab 14-Problems QNT 351 Week 4 Individual Assignment Real Estate Data QNT 351 Week 4 Individual Assignment MyStatsLab 14-Problems QNT 351 Week 4 Learning Team Reflection QNT 351 Week 4 DQ 1 QNT 351 Week 4 DQ 2 QNT 351 Week 4 DQ 3 QNT 351 Week 4 DQ 4 QNT 351 Week 5 Individual Assignment Real Estate Data QNT 351 Week 5 Learning Team Assignment Analyzing and Interpreting Data Paper and Presentation QNT 351 Week 5 Indivdiual Assignment MyStatsLab Problems -----------------------------------------------

QNT 351 Final Exam Guide

For more course tutorials visit www.Qnt351.com 1) The main purpose of descriptive statistics is to 2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called


3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment? 4) What type of variable is the number of robberies reported in your city? 5) What level of measurement is the number of auto accidents reported in a given month? 6) The names of the positions in a corporation, such as chief operating officer or controller, are examples of what level of measurement? 7) Shoe sizes, such as 7B, 10D, and 12EEE, are examples of what level of measurement? 8) Monthly commissions of first-year insurance brokers are $1,270, $1,310, $1,680, $1,380, $1,410, $1,570, $1,180, and $1,420. These figures are referred to as 9) A small sample of computer operators shows monthly incomes of $1,950, $1,775, $2,060, $1,840, $1,795, $1,890, $1,925, and $1,810. What are these ungrouped numbers called? 10) The sum of the deviations of each data value from this measure of central location will always be 0 11) For any data set, which measures of central location have only one value?


12) A sample of single persons receiving social security payments revealed these monthly benefits: $826, $699, $1,087, $880, $839, and $965. How many observations are below the median? 13) A dot plot shows 14) The test scores for a class of 147 students are computed. What is the location of the test score associated with the third quartile? 15) The National Center for Health Statistics reported that of every 883 deaths in recent years, 24 resulted from an automobile accident, 182 from cancer, and 333 from heart disease. Using the relative frequency approach, what is the probability that a particular death is due to an automobile accident? 16) If two events A and B are mutually exclusive, what does the special rule of addition state? 17) A listing of all possible outcomes of an experiment and their corresponding probability of occurrence is called a 18) The shape of any uniform probability distribution is 19) The mean of any uniform probability distribution is 20) For the normal distribution, the mean plus and minus 1.96 standard deviations will include about what percent of the observations? 21) For a standard normal distribution, what is the probability that z is greater than 1.75? 22) A null hypothesis makes a claim about a


23) What is the level of significance? 24) Suppose we test the difference between two proportions at the 0.05 level of significance. If the computed z is -1.07, what is our decision? 25) Which of the following conditions must be met to conduct a test for the difference in two sample means? 26) Which of the following statements about the two sample sizes is NOT true? Assume the population standard deviations are equal. 27) What is the chart called when the paired data (the dependent and independent variables) are plotted? 28) What is the variable used to predict the value of another called? 29) Twenty randomly selected statistics students were given 15 multiple-choice questions and 15 open-ended questions, all on the same material. The professor was interested in determining on which type of questions the students scored higher. This experiment is an example of 30) The measurements of weight of 100 units of a product manufactured by two parallel processes have same mean but the standard of process A is 15 while that of B is 7. What can you conclude? -----------------------------------------------

QNT 351 Week 1 DQ 1

For more course tutorials visit www.Qnt351.com


Week 1 DQ1 Where would you see descriptive statistics used in your work place? -----------------------------------------------

QNT 351 Week 1 DQ 2

For more course tutorials visit www.Qnt351.com Week 1 DQ2 How would you define dependent and independent variables? What is their significance in research? Explain with examples. -----------------------------------------------

QNT 351 Week 1 DQ 3

For more course tutorials visit www.Qnt351.com Develop five demographic questions to measure gender, age, years of experience, level of education, and ethnicity. Identify the level of measurement used for each -----------------------------------------------


QNT 351 Week 1 DQ 4

For more course tutorials visit www.Qnt351.com How would you define a variable? What is the difference between a dependent and independent variable? Do you think both variables are used in every research? Explain why or why not. Provide examples. -----------------------------------------------

QNT 351 Week 1 DQ 5

For more course tutorials visit www.Qnt351.com What is the importance of statistics in business decision making? Describe a business situation where statistics was used in making a decision. -----------------------------------------------

QNT 351 Week 1 DQ 6


For more course tutorials visit www.Qnt351.com What are the four data measurement scales? Provide two examples and explain the importance of each in business research. -----------------------------------------------

QNT 351 Week 1 Individual Assignment Statistics in Business (2 Sets)

For more course tutorials visit www.Qnt351.com This tutorial contains 2 different Sets of papers Define statistics. Identify different types of statistics. Describe the role of statistics in business decision making. Write a 300-word summary providing at least three examples or problem situations in which statistics was used or could be used. -----------------------------------------------

QNT 351 Week 2 DQ 1


For more course tutorials visit www.Qnt351.com Can mean, median, or mode be calculated from all statistical data? Explain why or why not. When is the mean the best measure of central tendency? When is the median the best measure of central tendency? -----------------------------------------------

QNT 351 Week 2 DQ 2

For more course tutorials visit www.Qnt351.com 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 351 Week 2 DQ 3

For more course tutorials visit


www.Qnt351.com What level of data is a telephone number? Explain. -----------------------------------------------

QNT 351 Week 2 DQ 4

For more course tutorials visit www.Qnt351.com Does all data have a mean, median, or mode? Why or why not? When is the mean the best measure of central tendency? When is the median the best measure of central tendency? -----------------------------------------------

QNT 351 Week 2 DQ 5

For more course tutorials visit www.Qnt351.com


Why is the population shape a concern when estimating a mean? What effect does sample size, n, have on the estimate of the mean? -----------------------------------------------

QNT 351 Week 2 Individual Assignment My StatsLab

For more course tutorials visit www.Qnt351.com Week 2 Problems 1.Choose the correct answer bellow: A. It is an estimate or prediction or some other generalization about a population based on information contained in a sample B. It is a characteristic or property of an individual experimental unit C. It is the process used to assign numbers to variables of individual population units D. It is the science that deals with collection, classification, and interpretation of information or data 2. Explain the difference between qualitative and quantitative data Choose the correct answer bellow A. Quantitative data are collected from an observational study , while qualitative data are from a designed experiment


B. Quantitative data are data from a sample, while qualitative data are data from a population C. Quantitative data are numerical in nature, while qualitative data are categorical in nature D. Quantitative data are data from a population, while qualitative data are data from a sample E. Quantitative data are categorical in nature, while qualitative data are numerical in nature F. Quantitative data are collected from a designed experiment, while qualitative data are from a observational study 3. Explain how populations and variables differ. Choose the correct answer bellow: A. A population is a set of units of interest to a study. A variable is a subset of the units of a population B. A variable is a set of units of interest to a study. A population is a characteristic or property of the units being studied. C. A population is a set of units of interest to a study. A variable is an object upon which data is collected D. A population is a set of units of interest to a study. A variable is a characteristic or property of the units being studied

4. Define statistical thinking. Choose the correct answer bellow: A. Statistical thinking involves applying rational thought and the science of statistics to critically assess data and interferences


B. Statistical thinking is a statement about the degree of uncertainty associated with a statistical inference C. Statistical thinking utilizes sample data to make estimates, decisions, predictions, or other generalization about a larger set of data D. Statistical thinking is a series of actions or operations that transforms inputs to outputs 5. Suppose you’re given a data set that classifies each sample unit into one of four categories: A,B,C or D. You plan to create a computer database consisting of these data, and you decide to code the data as A=, B=, C=3, and D=4. Are the data consisting of the classifications A, B, C, and D qualitative or quantitative? After the data are input as 1, 2, 3, or 4, are they qualitative or quantitative? Are the data consisting of the classifications A, B, C, and D qualitative or quantitative? A. Quantitative, because they are measured on a naturally occurring numerical sale B. Quantitative, because they can only be classified into categories C. Qualitative, because they can only be classified into categories D. Qualitative, because they are measured on a naturally occurring numerical sale

6. A company tracked all credit card purchases during the year 2005 and measured two variables: (1) the cardholder’s town of residence, and (2) the amount (in dollars) of each monthly payment


a. identify the type (qualitative or quantitative) of each variable measured b. does the data set collected represent a population or a sample? a. Is the variable (1) qualitative or quantitative? •

Qualitative

8. Identify each of the following variables as qualitative or quantitative We have another similar question 8 scroll down to see it if it doesn’t match with yours a. Eye color b. Number of brothers and sisters c. Size of home d. Political party preference a. Is the variable qualitative or quantitative? Why? 9. A company surveyed a random sample of 10,000 employees in the region. One question the asked was, “ If your employer provides you with mentoring opportunities are you likely to remain in your job for the next five years?” The found that 730 members of the sample said yes. a. Identify the population of interest in the company 10. Identify each of the following variables as qualitative or quantitative We have another similar question 10 scroll down to see it if it doesn’t match with yours -----------------------------------------------


QNT 351 Week 2 Learning Team Assignment Data Collection (2 Sets)

For more course tutorials visit www.Qnt351.com This tutorial contains 2 different Sets of papers Discuss with your team whether you have data from RES/351, and if your team would like to use one team member’s data for the Learning Team assignments in this course. If using data from RES/351: Resources: Data collected from RES/351 Prepare a 700- to 1,050-word written report along with a 5- to 7-slide Microsoft® PowerPoint® presentation for the senior management team or stakeholders of your RES/351 research project to present your findings. Address the following: Present the chosen situation as an overview—problem, purpose, research questions, and hypotheses. 

Describe and the instrument used for data collection.

Identify types of data—quantitative, quantitative, or both—and how the data is collected. 

Identify the level of measurement for each of the variables involved in the study. 


Code the data if you have not done so. Describe how the data is coded and evaluate the procedure used. 

Clean the data by eliminating the data input errors made.

Draw conclusions about appropriateness of data to meet the purpose of the study. 

If you decide not to use your own data, you can use the Ballard Integrated Managed Services, Inc., case study overview: Resources: University of Phoenix Material: Ballard Integrated Managed Services, Inc., Part 1 Review the Ballard Integrated Managed Services, Inc. (BIMS) case study overview. Prepare a 700- to 1,050-word written report along with a 5- to 7-slide Microsoft® PowerPoint® presentation for the senior management team to present your findings (see Exhibit D for the data set of the second survey). Address the following: Present the BIMS situation as an overview—problem, purpose, research questions, and hypotheses. 

Describe the instrument used for data collection.

Identify types of data collected—quantitative, qualitative, or both—and how the data is collected. 

Identify the level of measurement for each of the variables involved in the study. 


Code the data if you have not done so. Describe how the data is coded and evaluate the procedure used. 

Clean the data by eliminating the data input errors made.

Draw conclusions about appropriateness of data to meet the purpose of the study. 

Note. As consultants to BIMS, your Learning Team is expected to prepare and deliver a professional product addressing the client's needs. -----------------------------------------------

QNT 351 Week 3 DQ 1

For more course tutorials visit www.Qnt351.com What are the differences between probability and coincidence? Can the probability be more than 1 or less than 0? Explain why or why not. . -----------------------------------------------

QNT 351 Week 3 DQ 2

For more course tutorials visit www.Qnt351.com


What is the role of probability concepts in business decision-making? Provide specific examples. . -----------------------------------------------

QNT 351 Week 3 DQ 3

For more course tutorials visit www.Qnt351.com What are the basic differences between a discrete and a continuous distribution? . -----------------------------------------------

QNT 351 Week 3 DQ 4

For more course tutorials visit www.Qnt351.com What are the characteristics of standard normal distribution? Explain how to calculate the z-test static. Explain how a z-value is used to calculate the area under the distribution and the meaning of P(0 to z) when z = 1.96.


. -----------------------------------------------

QNT 351 Week 3 Individual Assignment My StatsLab 14-Problems (2 Sets)

For more course tutorials visit www.Qnt351.com QNT 351 Week 3 Individual Assignment My StatsLab 14-Problems This tutorial contains 2 Sets of stats lab problems also This tutorial contains excel file which can be used to solve your lab problems even if the values doesn’t match Week 3 Problems 1. An industrial group reports that there were approximately 122,000 industrial robots operating in a region last year. The graph shows the percentages of industrial robot units assigned to each of six task categories. 2. In one university, language professors incorporated a 10-week extensive readings program to improve students’ Japanese reading comprehension. The professor collected 262 books originally written for Japanese children and required their students to read at least 40 of them as part of the grade in course. The books were categorized into reading levels (color-coded for easy selection) according to length and complexity. Complete parts a trough c.


We have another set of Question 2 with different values of pie chart, scroll down to see if it 3. One organization estimates that there are 13,140 rhinoceroses living in the wild in a continent. A breakdown of the number of rhinos of each species is reported in the accompanying table. Complete parts a trough c. a. One of the 13,140 rhinoceroses is selected and the species of the rhinoceros is determined. What type of data (quantitative or qualitative) is measured? 4. One organization estimates that there are 13,090 rhinoceroses living in the wild in a continent. A breakdown of the number of rhinos of each species is reported in the accompanying table. Complete parts a through c. a. One of the 13,090 rhinoceroses is selected and the species of the rhinoceroses is determined. What type of data (qualitative or quantitative) is measured? 5. A government study found that the number of non-cash payments in a country reached 92.7 billion transactions during the year 2007. The pie chart to the right describes the proportions of these non-cash transactions that were made with credit cards (CC), debit cards (D), checks (C), electronic benefit transfers (EBT) cards, and automatic clearing house (ACH) payments. Complete parts a trough d. a. Describe the population of interest in the study. Choose the correct answer bellow. A. The population is the country making the transactions during the year B. The population is the government that conducted the survey


C. The population is all transactions made using a credit card or debit card during the year D. The population is all non-cash transactions made during the year 6. A group of marketing professors asked every fourth adult entrant to a mall to participate in a study. A total of 106 shoppers agreed to answer the question, “Made locally’ means what percentage of local labor and materials?� The responses of the 106 shoppers are summarized in the table to the right. Complete parts a trough c bellow. a. What type of data-collection method was used? A. Designed experiment B. Survey 7. Use the relative frequency table shown to the right to calculate the number of the 400 measurements falling into each of the measurement classes. Then graph a frequency histogram for these data. Calculate the number of measurements that fall into each class 8. Use the relative frequency table shown to the right to calculate the number of the 400 measurements falling into each of the measurement classes. Then graph a frequency histogram for these data. 9. Consider the stem-and-leaf display to the right: a. How many observations were in the original data set? b. In the bottom row of the stem-and-leaf display, identify the stem, and the numbers in the original data set represented by this stem and its leaves. 10. Certain measurements are summarized in the histogram to the right. What percentage of the measurement are greater then 12?


The histogram shows that 35% of the measurements are greater than 12 11. Calculate the mean and median of the following grade point averages. 2.1 3.8 2.7 3.4 2.3 3.3 12. Calculate the mean for samples for which the sample size and ∑x are given bellow a. n=10, ∑x=83 b. n=16, ∑x=352 c. n=45, ∑x=36 d. n=18, ∑x=238 _ 3. Five banks have been ranked by the amount charged to credit and debit cards issued by the banks. The table to the right gives the total amount charged in 2007 for the top ranked banks. a. Find the mean amount charged for the top five banks and practically interpret this value b. Find the median amount charged for the top five banks and practically interpret this value. 14. Calculate the range, variance, and standard deviation for the following sample 5, 2,1,0,1 15. Calculate the variance and standard deviation for samples with the following statistics


-----------------------------------------------

QNT 351 Week 3 Individual Assignment Real Estate Data

For more course tutorials visit www.Qnt351.com Resources: Appendix A1 at the end of Basic Statistics for Business and Economics Answer question 68 in the Data Set Exercises from Ch. 3 of Basic Statistics for Business and Economics. Answer question 34 in the Data Set Exercises from Ch. 4 of Basic Statistics for Business and Economics. -----------------------------------------------

QNT 351 Week 3 Team Assignment Summarizing and Presenting Data (2 Sets)

For more course tutorials visit www.Qnt351.com This tutorial contains 2 different Sets of papers


If using RES/351 data: Revise the report submitted in Week Two based on the feedback provided by the instructor in the team assignment, and insight gained by reading Summarize the data collected using descriptive statistics. Descriptive statistics should be in the forms of frequency distribution table, measures of mean, median, mode, standard deviation, and graphical display of data. Summarize the statistics in relation to the problem selected and research questions and draw conclusions. Prepare a 1,050- to 1,750-word report of conclusions drawn from the data and make recommendations to the management. Support recommendations by citing literature consistent with APA guidelines. If using the Ballard Integrated Managed Services, Inc., (BIMS) case study overview: Revise the report submitted in Week Two based on the feedback provided by the instructor in the team assignment, and insight gained by reading. Analyze the data included in BIMS case study Part 1 by computing descriptive statistics in the form of tables, charts, measures of central tendency, and variability. Prepare a 1,050- to 1,750-word report of conclusions drawn from the data and make recommendations to the management. Support recommendations by citing literature consistent with APA guidelines.


-----------------------------------------------

QNT 351 Week 4 DQ 1

For more course tutorials visit www.Qnt351.com What are some terms related to hypothesis testing with which you are already familiar? Why do null and alternative hypotheses have to be mutually exclusive? -----------------------------------------------

QNT 351 Week 4 DQ 2

For more course tutorials visit www.Qnt351.com Why does the significance level differ among industries? Will the null hypothesis be more likely to be rejected at α = 0.01 than α = 0.10? As the significance level increases to α = 0.10 from α = 0.01, which type error is more likely to occur? What can be done to reduce the likelihood of incurring this error? -----------------------------------------------


QNT 351 Week 4 DQ 3

For more course tutorials visit www.Qnt351.com Please explain the five steps used in hypothesis testing. How does the five-step procedure for hypothesis testing differ when comparing two groups using a t- or z-test? How is the process similar? -----------------------------------------------

QNT 351 Week 4 DQ 4

For more course tutorials visit www.Qnt351.com Please explain terms related to hypothesis testing; please explain null and alternate hypotheses, explain the difference between two different test statistics, then define the equations used in both. Why do null and alternative hypotheses have to be mutually exclusive? -----------------------------------------------

QNT 351 Week 4 Individual Assignment MyStatsLab 14-Problems (2 Sets)


For more course tutorials visit www.Qnt351.com NT 351 Week 4 Individual Assignment MyStatsLab 14-Problems This tutorial contains 2 Sets of stats lab problems also This tutorial contains excel file which can be used to solve your lab problems even if the values doesn’t doesn’t match Week 4 Problems 1. Determine whether the random variable is discrete or continuous. a. the number of textbook authors now sitting at a computer b. the weight of a T-bone steak c. the number of fish caught during a fishing tournament d. the time it takes to fly from city A to city B e. the number of points scored during a basketball game a. Is the number of textbook authors now sitting at a computer? A. The random variable is discrete 2. Determine whether the random variable is discrete or continuous. In each case, state the possible values of the random variable. (a) the number of light bulbs that burn out in the next week in room with 17 bulbs (b) the amount of rain in City B during April


(a) Is the number of light bulbs that burn out in the next week in room with 17 bulbs discrete or continuous? A. The random variable is continuous. The possible values are 0≤x≤17 B. The random variable is discrete. The possible values are 0, 1, 2, …, 17 C. The random variable is continuous. The possible values are 0, 1, 2, …, 17 D. The random variable is discrete. The possible values are 0≤x≤17 3. The random variable x has the following discrete probability distribution. Complete parts a trough f. a. List the values x may assume. 1, 4, 5, 8, 9 b. What value of x is most probable? 9 c. Display the probability distribution as a graph. Choose the correct graph bellow. 4. A discrete random variable x can assume five possible values 2, 3, 5, 7, and 9. Its probability distribution is shown here. Complete parts a trough c. Question 5 Set 1 6. Find the following probabilities for the standard normal random variable z. a. P(z>1.79) b. P(z< -1.46) c. P(0.54 ≤ z ≤ 2.67) d. P(- 2.34 < z > 1.77)


For this question to get quick solution use excel file 7. Find the area under the standard normal probability distribution between the following pairs of z – scores. For this question to get the solution quickly use excel file a. z=0 and z=3.00 b. z=0 and z=1.00 c. z=0 and z=2.00 d. z=0 and z=0.62

8. Find the area under the standard normal probability distribution between the following pairs of z – scores. For this question to get the solution quickly use excel file a. z=0 and z=1.00 9. Find the following probability for the standard normal random variable z. For this question to get the solution quickly use excel file 10. Suppose the random variable x is best described by a normal distribution with µ = 26 and = 5. Find the z score that corresponds to each of the following x – values. For this question to get the solution quickly use excel file 11. Suppose x is a normal distributed random variable with µ = 11 and = 2. Find each of the following probabilities. For this question to get the solution quickly use excel file


12. The ages of a group of 50 women are approximately normally distributed with a mean of 48 years and a standard deviation of 5 years. One woman is randomly selected from the group, and her age is observed. For this question to get the solution quickly use excel file a. Find the probability that her age will fall between 55 and 59 years. b. Find the probability that her age will fall between 47 and 53 years. c. Find the probability that her age will be less than 35 years. d. Find the probability that her age will exceed 41 years 13. Financial analysts who make forecasts of stock prices are categorized as either “buy-side” analysts or “sell-side” analysts. The mean and standard deviation of the forecast errors for both types of analysts are shown is the table to the right. Assume that the distribution of forecast errors are approximately normally distributed. For this question to get the solution quickly use excel file 14. The mean gas mileage for a hybrid car is 57 miles per gallon. Suppose that the gasoline mileage is approximately normally distributed with a standard deviation of 3.5 miles per gallon. a. What is the probability that a randomly selected hybrid gets more than 62 miles per gallon? b. What is the probability that a randomly selected hybrid gets 50 miles per gallon or less?

15. Resource Reservation Protocol (RSVP) was originally designed to establish signaling links for stationary networks. RSVP was applied to


mobile wireless technology. A simulation study revealed that the transmission delay (measured is milliseconds) of an RSVP linked wireless device has an approximate normal distribution with mean Âľ=46.5 milliseconds and = 8.5 milliseconds. Complete part a and b. -----------------------------------------------

QNT 351 Week 4 Individual Assignment Real Estate Data

For more course tutorials visit www.Qnt351.com Resources: Appendix A1 at the end of Basic Statistics for Business and Economics Answer question 60 (both parts a. and b.) in the Data Set Exercises from Ch. 6 of Basic Statistics for Business and Economics. Answer question 54 (both parts a. and b.) in the Data Set Exercises from Ch. 7 of Basic Statistics for Business and Economics. -----------------------------------------------

QNT 351 Week 4 Learning Team Reflection (2 Sets)

For more course tutorials visit


www.Qnt351.com QNT 351 Week 4 Learning Team Reflection This tutorial contains 2 different sets Discuss the following with your Learning Team: 

The steps in testing a research hypothesis

Comparing the means of two or more groups

Calculating the correlation between two variables

Include the topics you feel comfortable with, any topics you struggled with, and how the weekly topics relate to application in your field. Prepare a 350- to 1,050-word paper detailing the findings of your discussion. Click the Assignment Files tab to submit your assignment. -----------------------------------------------

QNT 351 Week 5 Indivdiual Assignment MyStatsLab Problems

For more course tutorials visit www.Qnt351.com


QNT 351 Week 5 Individual Assignment MyStatsLab Problems -----------------------------------------------

QNT 351 Week 5 Individual Assignment Real Estate Data

For more course tutorials visit www.Qnt351.com Resources: Appendix A1 at the end of Basic Statistics for Business and Economics Answer question 58 in the Data Set Exercises from Ch. 10 of Basic Statistics for Business and Economics. Answer question 62 in the Data Set Exercises from Ch. 13 of Basic Statistics for Business and Economics. ------------------------------------------------

QNT 351 Week 5 Learning Team Assignment Analyzing and Interpreting Data Paper and Presentation

For more course tutorials visit www.Qnt351.com


If using RES/351 data: Ask your instructor for specific information regarding the analysis you are required to perform for your data set. Combine your Week Two Learning Team assignment and Week Three findings with Week Five findings and make a recommendation to the research problem. Use the statistical tables given in the appendices of the textbook and a statistical analysis application: a Microsoft® Excel® spreadsheet, Minitab® statistical software, or SPSS™ software. Prepare a 1,050- to 1,750-word written report along with a 7- to 9-slide Microsoft® PowerPoint® presentation for the senior management team to present your findings. If using the Ballard Integrated Managed Services, Inc. (BIMS) case study overview: Read the University of Phoenix Material: Ballard Integrated Managed Services, Inc., Part 2. Your team acts as a consultant group that analyzes and interprets this second set of data. The intent is to increase senior management’s understanding of the sources of employee dissatisfaction and to create a model that predicts employee resignation. Combine your Week Two Learning Team assignment and Week Three findings with Week Five findings and make a recommendation to BIMS. Use the statistical tables given in the appendices of the textbook and a statistical analysis application: a Microsoft® Excel® spreadsheet, Minitab® statistical software, or SPSS™ software. Prepare a 1,050- to 1,750-word written report along with a 7- to 9-slide Microsoft® PowerPoint® presentation for the senior management team to present your findings (see Exhibit D for the data set of the second survey).


Note. As consultants to BIMS, your Learning Team is expected to prepare and deliver a professional product addressing the clientâ&#x20AC;&#x2122;s needs. ---------------------------------------------------------------------------


QNT 351 Course Future Starts / Qnt351dotcom