Define the key terms

1. Biased measurements: measurements that are changed by the situation

2. Suppression: measurements that avoid extreme values

3. Skew: where one tail of a distribution is longer than the other

Fill in the gaps

1. With Categorical variables, more categories increase Type II errors.

2. The presence of skew usually doesn’t affect Type I errors.

3. Random variability in a measurement reduces the measured effect size.