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QNT 351 (Quantitative Analysis for Business) Complete Class Click This Link to Get Complete Class:

http://www.myhomeworkspot.com/QNT-351-Quantitative-Analysisfor-Business-Complete-Class-042.htm?categoryId=-1 QNT 351 Week 1 Individual Assignment Statistics in Business 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.

Week 2 Learning Team Assignment Data Collection & Calculation 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 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 (in week4 you will prepare a power point presentation).

QNT 351 WK 2 Individual Assignment My StatsLab 10-Problems Week 3 Learning Team Assignment Summarizing and Presenting 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. Analyze the data included in BIMS case study Part 1 by computing descriptive statistics in the form of tables (such as frequency distribution table), charts/graphs, measures of central tendency (specifically: mean, median, mode), and variability (standard deviation). Summarize the statistics in relation to the problem 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.

Week 3 Individual Assignment Real Estate Data 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 WK 3 Individual Assignment (My StatsLab 14-Problems) . QNT 351 Week 4 Individual Assignment Real Estate Data Resources: Appendix A1 at the end of Basic Statistics for Business and Economics QNT 351 WK 4 Individual Assignment (MyStatsLab 14-Problems) QNT 351 Week 4 Reflection Summary Develop a strategy for the final Learning Team assignment, based on the feedback received and knowledge gained from readings and discussion. Select a level of significance, remembering Type I and Type II errors made in hypothesis testing for the Learning Team assignment. How can Type II errors in research project hypothesis testing be avoided? Prepare a 1- to 3-page paper detailing the findings of your discussion. QNT 351 WK 5 Indivdiual Assignment MyStatsLab Problems QNT 351Week 5 Individual Assignment Real Estate Data 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.

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

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).

Week 1 Discussion Questions Where would you see descriptive statistics used in your work place? How would you define dependent and independent variables? What is their significance in research? Explain with examples. Develop five demographic questions to measure gender, age, years of experience, level of education, and ethnicity. Identify the level of measurement used for each 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. What is the importance of statistics in business decision making? Describe a business situation where statistics was used in making a decision. What are the four data measurement scales? Provide two examples and explain the importance of each in business research. Week 2 Discussion Questions 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? 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. What level of data is a telephone number? Explain.

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? Why is the population shape a concern when estimating a mean? What effect does sample size, n, have on the estimate of the mean? Week 3 Discussion Questions What are the differences between probability and coincidence? Can the probability be more than 1 or less than 0? Explain why or why not. What is the role of probability concepts in business decision-making? Provide specific examples. What are the basic differences between a discrete and a continuous distribution? 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

Week 4 Discussion Questions 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? 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? 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? 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?


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