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H-SC MATH 121 - Lecture 12 - Displaying Distributions Qualitative Variables

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Displaying Distributions – Qualitative VariablesPie ChartsRacial Profiling by the Police?Who Gets Pulled OverSlide 5Slide 6Racial Profiling by Sharks?Bar GraphsSlide 9Pie Chart ExamplesDisplaying Distributions – Qualitative VariablesLecture 14Sections 4.3.1 – 4.3.2Tue, Feb 5, 2008Pie 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 OverWhite 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 getp-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


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H-SC MATH 121 - Lecture 12 - Displaying Distributions Qualitative Variables

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