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Scenario:Â Upon successful completion of the MBA program, say you work in the analytics department for a consulting company. Your assignment is to analyze the following database:Consumer FoodProvideÂ a 1,300-word detailed, statistical report including the following:Explain the context of the caseProvide a research foundation for the topicPresent graphsExplain outliersPrepare calculationsConduct hypotheses testsDiscuss inferences you have made from the resultsÂ This assignment is broken down into four parts:Part 1 - Preliminary AnalysisPart 2 - Examination of Descriptive StatisticsPart 3 - Examination of Inferential StatisticsPart 4 - Conclusion/RecommendationsÂ Part 1 - Preliminary 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.StateÂ the objective:What are the questions you are trying to address?DescribeÂ the population in the study clearly and in sufficient detail:What is the sample?DiscussÂ the types of data and variables:Are the data quantitative or qualitative?What are levels of measurement for the data?Â Part 2 - Descriptive Statistics (3-4 paragraphs)Â ExamineÂ the given data.PresentÂ the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary).IdentifyÂ any outliers in the data.PresentÂ any graphs or charts you think are appropriate for the data.Note:Â Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations.Â Part 3 - Inferential Statistics (2-3 paragraphs)UseÂ the Part 3: Inferential Statistics document.Create (formulate) hypothesesRun formal hypothesis testsMake decisions. Your decisions should be stated in non-technical terms.Hint: A final conclusion saying "reject the null hypothesis" by itself without explanation is basically worthless to those who hired you. Similarly, stating the conclusion is false or rejected is not sufficient.Â Part 4 - Conclusion and Recommendations (1-2 paragraphs)IncludeÂ the following:What are your conclusions?What do you infer from the statistical analysis?State the interpretations in non-technical terms. What information might lead to a different conclusion?Are there any variables missing?What additional information would be valuable to help draw a more certain conclusion?8909

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Annual

Food

Spending

(\$)

Annual

Househol

d Income

(\$)

Non

mortgage

househol

d debt (\$)

Region:

1 = NE

2 = MW

3 = S

4

= W

LocaTon:

1 = Metro

2 =

Outside

Metro

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This question was answered on: Jan 02, 2020

Solution~000.zip (25.37 KB)

STATUS

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Approved

Jan 02, 2020

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