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 increases 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.