Overview
Case Study #1 is intended to test your knowledge of how to summarize data using pivot tables in Excel using the data file, including using filters and interpreting the results (Case Study 1 - Data File - Fall 2021.xlsx).
The data file contains US Census Bureau (USCB) population counts for 2010 and 2019 for each of the 50 US states, along with the District of Columbia (DC), with both statewide totals and county level totals, as applicable. The data fields included are as follows:
- Region – Per the USCB the US is carved into distinct geographic regions
- Division – Each USCB Region is further carved into distinct geographic divisions
- State Code – The USCB assigns a unique numeric code for each state and DC
- County Code – The USCB assigns a unique numeric code for each county within a state
- County Codes may be duplicated amongst different states
- County Code = 0 indicates total statewide population from all counties
- State Name
- County Name
- 2010 Population – Population counts per the USCB for 2010
- 2019 Population – Estimated population counts per the USCB for 2019
After watching the video How to Create Pivot Tables in Excel, create the following 8 pivot tables:
- Two (2) pivot tables – Total population and count of counties in 2010 and 2019 by Region
- Two (2) pivot tables – Total population and count of counties in 2010 and 2019 by Division within each Region
- Two (2) pivot tables – Total population and count of counties in 2010 and 2019 by State Name
- Do the following for the state you currently reside in:
- One (1) pivot table – Total population in 2010 and 2019 listed by County Name
- One (1) pivot table – Pick another state to compare the previous pivot table results to and show both in one table (total population in 2010 and 2019 listed County Names)
- Provide a brief summary noting the largest and smallest region/division/state from the first three steps and provide a brief summary explaining how the state you currently reside in compares to the other state you chose (# counties, total population counts in both 2010 and 2019, etc.). Summaries can be included in Excel in same worksheet(s) as each pivot table or in a separate worksheet.
Submit a single workbook showing the 8 fully functional pivot tables and the requested summary information.
This assignment will assess your ability to apply the concepts of chapter 10 to conduct simple and multiple regression analyses to create a prediction model from data for a random sample of 1,000 houses located in the greater Wilmington, DE area (Case Study 4 - Data File - Fall 2021.xlsxCase Study 4 - Data File - Fall 2021.xlsx). You will calculate various descriptive statistics, create summary tables, create various charts and develop five regression prediction models. Finally, you will create a written report summarizing your findings. You will need to use the Data Analysis ToolPak Add-in as you did in the previous two case studies.