Lecture02 - Lecture 2 Frequency tables Paul von Hippel, OSU...

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Paul von Hippel, OSU Sociology 549 1 Lecture 2 Frequency tables
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Paul von Hippel, OSU Sociology 549 2 Overview Frequency table Summary of a single variable Shows how common (frequent) different values are Slightly different for nominal vs. ordinal/interval variables
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Paul von Hippel, OSU Sociology 549 3 The problem with data sets They’re (often) too big! Name Gender Graduating? Class Major Age Job hours Children? Theda Skocpol F no sr criminology 21 10 no Jane Addams F yes jr sociology 23 15 no Andrew Greeley M no sr criminology 23 25 yes Karl Marx M no sr criminology 24 35 no Georg Simmel M no sr criminology 21 34-40 no 40 more cases Need to be boiled down, summarized.
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Paul von Hippel, OSU Sociology 549 4 Frequency table: Nominal variable Compact summary Only for one variable at a time Here we tabulate the Major variable Major Frequency (f) Proportion (P) Percentage criminology 22 .489 48.9% sociology 16 .356 35.6% no information 3 .067 6.7% education 1 .022 2.2% env science 1 .022 2.2% history 1 .022 2.2% political science 1 .022 2.2% Total 45 1 100.00% Interpretation : The data set (class roster) has 22 crim majors, etc. which is 22/45=.489=48.9% of the total, etc.
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Paul von Hippel, OSU Sociology 549 5 Exercise Country Working women GDP per person Urban Religion France 44% $19,510 73% Catholic Britain 46% $17,160 89% Protestant W. Germany 39% $14,730 86% Protestant Italy 30% $18,090 67% Catholic Netherlands 31% $17,780 89% Protestant Spain 22% $13,400 76% Catholic Ireland 31% $12,830 57% Catholic For this sample of European countries, construct and interpret a frequency/percentage table for Religion.
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Lecture02 - Lecture 2 Frequency tables Paul von Hippel, OSU...

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