Signature Assignment

Signature Assignment Order Description About Your Signature Assignment This signature assignment is designed to align with specific program student learnin" rel="nofollow">ing outcome(s) in" rel="nofollow">in your program. Program Student Learnin" rel="nofollow">ing Outcomes are broad statements that describe what students should know and be able to do upon completion of their degree. The signature assignments might be graded with an automated rubric that allows the University to collect data that can be aggregated across a location or college/school and used for program improvements. Purpose of Assignment The purpose of this assignment is for students to synthesize the concepts learned throughout the course. This assignment will provide students an opportunity to build critical thin" rel="nofollow">inkin" rel="nofollow">ing skills, develop busin" rel="nofollow">inesses and organizations, and solve problems requirin" rel="nofollow">ing data by compilin" rel="nofollow">ing all pertin" rel="nofollow">inent in" rel="nofollow">information in" rel="nofollow">into one report. Assignment Steps Resources: Microsoft Excel®, Signature Assignment Databases, Signature Assignment Options, Part 3: Inferential Statistics Scenario: Upon successful completion of the MBA program, say you work in" rel="nofollow">in the analytics department for a consultin" rel="nofollow">ing company. Your assignment is to analyze one of the followin" rel="nofollow">ing databases: •Manufacturin" rel="nofollow">ing •Hospital •Consumer Food •Fin" rel="nofollow">inancial Select one of the databases based on the in" rel="nofollow">information in" rel="nofollow">in the Signature Assignment Options. Provide a 1,600-word detailed, statistical report in" rel="nofollow">includin" rel="nofollow">ing the followin" rel="nofollow">ing: •Explain" rel="nofollow">in the context of the case •Provide a research foundation for the topic •Present graphs •Explain" rel="nofollow">in outliers •Prepare calculations •Conduct hypotheses tests •Discuss in" rel="nofollow">inferences you have made from the results This assignment is broken down in" rel="nofollow">into four parts: •Part 1 - Prelimin" rel="nofollow">inary Analysis •Part 2 - Examin" rel="nofollow">ination of Descriptive Statistics •Part 3 - Examin" rel="nofollow">ination of Inferential Statistics •Part 4 - Conclusion/Recommendations Part 1 - Prelimin" rel="nofollow">inary Analysis (3-4 paragraphs) Generally, as a statistics consultant, you will be given a problem and data. At times, you may have to gather additional data. For this assignment, assume all the data is already gathered for you. State the objective: •What are the questions you are tryin" rel="nofollow">ing to address? Describe the population in" rel="nofollow">in the study clearly and in" rel="nofollow">in sufficient detail: •What is the sample? Discuss the types of data and variables: •Are the data quantitative or qualitative? •What are levels of measurement for the data? Part 2 - Descriptive Statistics (3-4 paragraphs) Examin" rel="nofollow">ine the given data. Present the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary). Identify any outliers in" rel="nofollow">in the data. Present any graphs or charts you thin" rel="nofollow">ink are appropriate for the data. Note: Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations. Part 3 - Inferential Statistics (2-3 paragraphs) Use the Part 3: Inferential Statistics document. •Create (formulate) hypotheses •Run formal hypothesis tests •Make decisions. Your decisions should be stated in" rel="nofollow">in non-technical terms. Hin" rel="nofollow">int: A fin" rel="nofollow">inal conclusion sayin" rel="nofollow">ing "reject the null hypothesis" by itself without explanation is basically worthless to those who hired you. Similarly, statin" rel="nofollow">ing the conclusion is false or rejected is not sufficient. Part 4 - Conclusion and Recommendations (1-2 paragraphs) Include the followin" rel="nofollow">ing: •What are your conclusions? •What do you in" rel="nofollow">infer from the statistical analysis? •State the in" rel="nofollow">interpretations in" rel="nofollow">in non-technical terms. What in" rel="nofollow">information might lead to a different conclusion? •Are there any variables missin" rel="nofollow">ing? •What additional in" rel="nofollow">information would be valuable to help draw a more certain" rel="nofollow">in conclusion?