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STAT 200 - Association Between Two Categorical Variables

James Warp English

STAT 200 - Association Between Two Categorical Variables

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STAT 200 - Association Between Two Categorical Variables

  1. Do men and women differ in how they report their appearance in dating profiles?

    • Hypothesis Test
      • Numerical
        • Chi-square statistic
          • measures how different observed 2-way table is from a 2-way table with no relationship
          • Expected Count = Row Total * Column Total / Sample Size
          • df = (r-1)*(c-1)
            • expected counts must be at least 5
            • r = number of rows
            • c = number of columns
            • p-value
              • interpretation
                • the probability that we see a sample with a chi-square statistic of 8.15 or any value larger is 0.037
        • Example
          • 1. Hypotheses
            • 2. Chi-square statistic
              • 3. p-value using df
                • 4. Conclusion
      • Graphical
        • Categorical variable: Man/Women
        • Categorical variables: Very_Attractive/Attractive/Average/No_Answer

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  • STAT 200 - Association Between Two Categorical Variables
  • STAT 200 - Association Between Two Categorical Variables
  • STAT 200 - Association Between Two Categorical Variables
  • STAT 200 - Association Between Two Categorical Variables
  • STAT 200 - Association Between Two Categorical Variables
  • STAT 200 - Association Between Two Categorical Variables

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Mind Map on STAT 200 - Association Between Two Categorical Variables, created by James Warp on 12/04/2017.
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