The consumer food database contains five variables: Annual FoodSpending per Household, Annual Household Income, Non-MortgageHousehold Debt, Geographic Region of the U.S. of the Household, andHousehold Location. There are 200 entries for each variable in thisdatabase representing 200 different households from various regionsand locations in the United States. Annual Food Spending perHousehold, Annual Household Income, and Non-Mortgage Household Debtare all given in dollars. The variable Region tells in which one offour regions the household resides. In this variable, the Northeastis coded as 1, the Midwest is coded 2, the South is coded as 3, andthe West is coded as 4. The variable Location is coded as 1 if thehousehold is in a metropolitan area and 2 if the household isoutside a metro area. The data in this database were randomlyderived and developed based on actual national norms.The consumerfood database contains five variables: Annual Food Spending perHousehold, Annual Household Income, Non-Mortgage Household Debt,Geographic Region of the U.S. of the Household, and HouseholdLocation. There are 200 entries for each variable in this databaserepresenting 200 different households from various regions andlocations in the United States. Annual Food Spending per Household,Annual Household Income, and Non-Mortgage Household Debt are allgiven in dollars. The variable Region tells in which one of fourregions the household resides. In this variable, the Northeast iscoded as 1, the Midwest is coded 2, the South is coded as 3, andthe West is coded as 4. The variable Location is coded as 1 if thehousehold is in a metropolitan area and 2 if the household isoutside a metro area. The data in this database were randomlyderived and developed based on actual national norms.
Provide a 1,600-word detailed, statisticalreport including the following:
- Explain the context of the case
- Provide a research foundation for the topic
- Present graphs
- Explain outliers
- Prepare calculations
- Conduct hypotheses tests
- Discuss inferences you have made from the results
This assignment is broken down into four parts:
- Part 1 - Preliminary Analysis
- Part 2 - Examination of Descriptive Statistics
- Part 3 - Examination of Inferential Statistics
- Part 4 - Conclusion/Recommendations
Part 1 - Preliminary Analysis (3-4 paragraphs)
Generally, as a statistics consultant, you will be given aproblem and data. At times, you may have to gather additional data.For this assignment, assume all the data is already gathered foryou.
State the objective:
- What are the questions you are trying to address?
Describe the population in the study clearlyand in sufficient detail:
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)
Examine the given data.
Present the descriptive statistics (mean,median, mode, range, standard deviation, variance, CV, andfive-number summary).
Identify any outliers in the data.
Present any graphs or charts you think areappropriate for the data.
Note: Ideally, we want to assess the conditions ofnormality too. However, for the purpose of this exercise, assumedata is drawn from normal populations.
Part 3 - Inferential Statistics (2-3 paragraphs)
Use the Part 3: Inferential Statisticsdocument.
- Create (formulate) hypotheses
- Run formal hypothesis tests
- Make decisions. Your decisions should be stated innon-technical terms.
Hint: A final conclusion saying "reject the nullhypothesis" by itself without explanation is basically worthless tothose who hired you. Similarly, stating the conclusion is false orrejected is not sufficient.
Part 4 - Conclusion and Recommendations (1-2 paragraphs)
Include the following:
- What are your conclusions?
- What do you infer from the statistical analysis?
- State the interpretations in non-technical terms. Whatinformation might lead to a different conclusion?
- Are there any variables missing?
- What additional information would be valuable to help draw amore certain conclusion?
