Displaying Distributions – Qualitative Variables

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Presentation transcript:

Displaying Distributions – Qualitative Variables Lecture 14 Sections 4.3.1 – 4.3.2 Tue, Feb 5, 2008

Pie Charts Pie chart. Use the percentage associated with the category to compute the central angle of the pie slice. E.g., 25% of 360 = 90. A pie chart facilitates the comparison of one category to the whole.

Racial Profiling by the Police? Who gets pulled over. Draw a pie chart of the data.

Who Gets Pulled Over How does the distribution by race of those pulled over compare to the distribution in the general population? Population Pulled Over White 73% 65% Black 20% 24% Hispanic 6% 7%

Who Gets Pulled Over The sample consisted of 520,079 cases. If we compute the p-value, we get p-value < 10-99. Is that significant?

Who Gets Pulled Over An interesting question raised by the superintendent of the Virginia State Police: “Do we know, at any given hour, what the demographics of I-95 in Richmond may be?” What kind of bias (other than racial profiling) may be in play here?

Racial Profiling by Sharks? Who gets bitten.

Bar Graphs Bar graph. A bar graph facilitates the comparison of one category to another.

Bar Graphs Who get pulled over. Draw a bar graph of the data.

Pie Chart Examples Where Your Income Tax Money Really Goes Major Religions of the World Ranked by Number of Adherents Warning against using piecharts

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