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STAT 200 - Association Between Two Categorical Variables

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STAT 200 - Association Between Two Categorical Variables
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
- interpretation
- Example
- 1. Hypotheses
- 2. Chi-square statistic
- 3. p-value using df
- 4. Conclusion
- 3. p-value using df
- 2. Chi-square statistic
- 1. Hypotheses
- Chi-square statistic
- Graphical
- Categorical variable: Man/Women
- Categorical variables: Very_Attractive/Attractive/Average/No_Answer
- Numerical
- Hypothesis Test
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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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- James Warp
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