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Using Chi Squared Stats to determine whether or not black sounding names on resumes affect callback rates from employers vs white sounding names

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Poverty Action Lab: Racial Dicrimination in US Jobs?

Examining Racial Discrimination in the US Job Market

Background:

Racial discrimination continues to be pervasive in cultures throughout the world. Researchers examined the level of racial discrimination in the United States labor market by randomly assigning identical résumés to black-sounding or white-sounding names and observing the impact on requests for interviews from employers.

Exercises

We will perform a statistical analysis to establish whether race has a significant impact on the rate of callbacks for resumes.

What test is appropriate for this problem? Does CLT apply?
What are the null and alternate hypotheses?
Compute margin of error, confidence interval, and p-value.
Write a story describing the statistical significance in the context or the original problem.
Does the analysis mean that race/name is the most important factor in callback success? Why or why not? 

Resources

Experiment information and data source: http://www.povertyactionlab.org/evaluation/discrimination-job-market-united-states
Scipy statistical methods: http://docs.scipy.org/doc/scipy/reference/stats.html
Markdown syntax: http://nestacms.com/docs/creating-content/markdown-cheat-sheet

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Using Chi Squared Stats to determine whether or not black sounding names on resumes affect callback rates from employers vs white sounding names

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