Exercise: Data Analysis of Racial Earnings in Florida

Objective

This exercise is designed to test your ability to apply statistical data to sociological analysis. You will use quantitative tools to answer complex social questions regarding economic stratification and racial inequality.

In this exercise, you will analyze state-level data using the tool WebChip, developed by the Social Science Data Analysis Network. You will generate a table for each year showing the earning composition for each ethnic and racial category for Florida.

You will generate tables showing Florida’s earnings distribution across different racial and ethnic categories for 2008 and 2016.

1. Go on
2. In the left part of the page, under the collections choose geo2016 and under the dataset Earn_FL
3. Then, in the Choose Variables part, choose Row as Earn3 and Column as RaceEth.
4. From Generate Table, click Percent Down.
5. Copy (or screenshot) and paste the table (only the Percent Down table) into your post. You may need to adjust the size of the table to make it all visible. Add the year to the title of the table.
6. Click Clear Workbook at the top of the screen and repeat the process for geo2008 collection.

Please observe the earning differences for each racial group and compare the results. While writing your reflections, use concepts from the book and your knowledge of racial inequalities in Southern states like Florida. Please answer (clearly separate your answers by number):

(1) Start by examining the earnings distribution across racial groups in Florida in 2008. What patterns do you observe in earning distributions for different racial groups? 25%

(2) Next, analyze the changes in these patterns from 2008 to 2016. Did the trends you observed in 2008 changed substantially by 2016? 25%

(3) What current differences can be observed considering Florida’s historical racial composition and economic structures? 25%

(4) Describe a personal experience or observation related to racial and economic inequalities. How does this personal experience align with or contrast the data you analyzed? Can you provide examples from your or your family members experiences? 25

Note: To receive full credit, you must cite specific data points and percentages from your generated tables to support your arguments.

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