1.When conducting a significance test to determine if there is a difference between two treatments, with a quantitative response variable, treatments are given to different experimental units, we summarize the data by:

computing the mean and standard deviation of each treatment group separately.

computing the difference in the responses for each experimental unit under both treatments, and then finding the mean and standard deviation of the differences.

computing the difference in the proportion of the sample that reacted better to treatment one and the proportion of the sample that reacted better to treatment two.

computing the proportion of the sample that reacted better to treatment one than treatment two.

2.

A social scientist is interested in determining if there is a significant difference in the proportion of Republicans between two areas of town. He takes independent random samples of 200 families in each area of town and a significance test was conducted. The p-value was 0.416. What should be our conclusions?

We do not have statistical significant evidence to say that there is a significant difference in proportion of Republicans in the two areas of town.

The evidence is very strong - there is a difference in proportion of Republicans between the two areas of town.

The evidence is pretty strong - there is a difference in proportion of Republicans between the two areas of town.