According to her statistical analysis, an investigator found that significantly more men than women used punishment to discipline their children. Thus, the investigator would:

A) accept the null hypothesis.
B) reject the null hypothesis.
C) make a Type II error.
D) make a Type I error.

If the statistical analysis has found a significant difference between men and women in their use of punishment to discipline their children, then it would be appropriate to reject the null hypothesis, which assumes that there is no difference. Accepting the null hypothesis (A) would be incorrect in this case. Making a Type II error (C) would occur if the investigator failed to reject the null hypothesis when there actually is a difference between men and women in their use of punishment. Making a Type I error (D) would occur if the investigator incorrectly rejected the null hypothesis when there is actually no difference.