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NO AI PLEASE PROVIDE AI AND FLAG REPORTS. NEED COMPLETED BY SUNDAY MIDNIGHT 1/26
THE DATA HAS BEEN ATTACHED AS WELL AS INFORMATION FROM THE BOOK PAGES
Complete Session 2 Case Study: 8.2 Tasks 1, 2, 3, 4 and 5 from the textbook. Write a short report.
Submit a Word document formatted in APA style complete with cover and reference pages.  The reference page must have at least one entry:  the textbook.
The submission must be a form Research Report with the following parts:

Background information about the case:  The section must provide information about the people, places, operations, business, etc. and the research question or practical business challenges for which the current research will be used to provide a solution .  This section need not be long; up to two well written paragraphs are usually sufficient.

Descriptive Statistics and Data illustration:  In this section, the submission must summarize how the data was obtained (see chapter 1 of the text). Graphs and charts illustrating the main features of the data are also required – please see chapter 2 of the textbook.   Finally, a table of descriptive statistics accompanied by  description and explanations of the main features of the data are also required.

Statistical Method:  This part of the submission must explain the main statistical method(s) used in the case.   What is the theory behind it? What are the working hypotheses (null and alternative, etc.), what main measures, statistics, or parameters etc.,  are to be estimated or calculated using the method; how does it measures or calculates these measures, statistics, or parameters?  Finally, this section must describe how the results of the statistical method are interpreted. That is, what is it about the results that would indicate that the working hypotheses or research questions are confirmed or rejected or perhaps need to be modified and tested again?

Results:  The actual results of the statistical method applied to the data are now presented in this section.  The section requires the student to describe the results and their theoretical interpretation based on the description of the method described in the previous section.

Conclusion and Recommendation:  This section restates the statistical results and applies it to the business situation in the case.  It also makes practical recommendations about what steps the business in the case can take going forward based on the results of the statistical analysis.  The application and recommendation can take one or more of these general forms.

The statistical results of the data analysis provided an answer(s) to the issues that the business is facing.  As a result specific policies or practical steps can be implemented in the business.
The statistical results of the data analysis provided only partial answers.  More research and tests need to be done to come up with a more useful answers for the business situation.
The statistical results did not provide any useful information for the challenges that a business(s) is facing.  Recommendations for conducting new research with new approaches, data, variables, etc. may be required.
Note:  there is always room for ‘further research’ since it is impossible for a single research case to answer every possible question.

Note
The textbook provides narratives, questions, or actual steps/questions for each case study.  While these are useful for conducting actual research, the submission must take the form of a research report and follow the above pattern.
Hint:  Use Excel ‘Descriptive Statistics’ routine to obtain descriptive statistics for this case.  Follow the Excel guides which have been provided in the textbook.
Note:  The data for the assignment is not available among the list of data sets in the current edition of StatCrunch.  The data can be accessed as Excel text file.

Groebner, D. F., Shannon, P. W. & Fry, P. C. (2019). Business statistics: A decision making approach. (11th Ed.). Upper Saddle River, NJ, Pearson.
ISBN13: 9780137835423EDITION: 11TH   this is the book. please let me know if additional assistance is needed

 

 

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Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!

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1. Cover Page:

• Title of your report
• Your name
• Course title and number
• Instructor’s name
• Date of submission

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2. Background Information (up to two paragraphs):

• People, Places, Operations, and Business: Start with a brief description of the business situation in the case study (this information should be in the case study you are working with).
• Research Question/Practical Business Challenges: Identify and explain the research question. What business challenge is being addressed through the statistical methods discussed?

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3. Descriptive Statistics and Data Illustration:

• How Data Was Obtained: Describe the process used to collect data. This might involve methods like surveys, experiments, or data gathering from existing business operations.
• Graphs and Charts: Illustrate the data through graphs and charts (you’ll use Excel’s ‘Descriptive Statistics’ routine here). Consider using bar charts, histograms, or pie charts depending on the data’s nature.
• Table of Descriptive Statistics: Use Excel or a similar tool to generate a table of descriptive statistics. Be sure to provide an explanation of the mean, median, mode, standard deviation, and any other relevant measures for understanding the dataset.

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4. Statistical Method:

• Theory Behind the Method: Provide an explanation of the statistical method(s) used in the case. This might include regression analysis, hypothesis testing, or ANOVA.
• Working Hypotheses: State your null hypothesis (H0) and alternative hypothesis (H1).
• Measures/Statistics to Be Estimated: List the statistics or measures (like p-values, confidence intervals, etc.) that you will calculate using the chosen statistical method.
• Interpretation: Explain how to interpret the results. Discuss how you will use the results to confirm or reject the hypotheses.

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5. Results:

• Present the actual results of the statistical method. If you conducted a hypothesis test, report the test statistic (e.g., t-value, F-value) and p-value.
• Interpret these results in the context of the business problem. For example, if the null hypothesis is rejected, what does that mean for the business?

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6. Conclusion and Recommendations:

• Restating Results: Briefly summarize the findings from the statistical analysis.
• Practical Application: Discuss how these results can help the business solve the problem they’re facing. What specific recommendations can you make based on your analysis?
  • Example: If your analysis shows a significant relationship, you might suggest that the business invest in a specific intervention or change their strategy.
  • If the analysis suggests more research is needed, suggest further steps or additional data points to consider.

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7. Reference Page:

• Use APA style for references. Ensure that the textbook and any other sources you’ve referenced (such as online articles, additional readings, or reports) are listed in proper APA format.

Example: Groebner, D. F., Shannon, P. W., & Fry, P. C. (2019). Business statistics: A decision-making approach (11th ed.). Pearson.

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Tips for Completing the Assignment:

• Be sure to follow the APA format for your report, including the cover page, in-text citations, and reference list.
• Use Excel’s Descriptive Statistics routine to generate tables, charts, and data summaries as required in the “Descriptive Statistics and Data Illustration” section.
• Review the case study carefully to identify key business challenges and research questions, as well as to determine which statistical methods are appropriate for analyzing the data.
• Always provide clear explanations of the statistical methods used, making sure the interpretation aligns with the business context.

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This structure will guide you through your assignment systematically, helping you organize your research report in a coherent and professional manner. Let me know if you need further help!

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