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You collect the data and find the following frequencies: The Observed Frequencies: Perceived Masculinity By Facial Contrast for 120 Faces Facial Contrast Perceived Masculinity High

You collect the data and find the following frequencies:The Observed Frequencies: Perceived Masculinity By Facial Contrast for 120 Faces

Facial Contrast

Perceived Masculinity High Contrast Low Contrast Totals
Low Masculinity 45 21 66
High Masculinity 19 35 54
Total 64 56 120

Look at the observed results and compare them to the expected results. For example, focus on the cell for high masculinity and low contrast. For the cell for high masculinity and low contrast, the observed frequency is (less than, equal to, greater than?) the expected frequency.

If the null hypothesis is true and the variables are independent, then there should be (little, a large?) difference between the expected and observed frequencies.

When there is a difference, the question becomes: Is this difference statistically significant? In the exercises that follow, you will learn how to calculate and use the chi square statistic to evaluate the significance of the difference.

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