Question 2 According to a research study, people can better manage their time when they wear watches than when they use mobile phones or other gadgets to keep track of time.
To test the study’s results, researchers randomized 300 college students into a treatment group and a control group. The treatment group was asked to wear a watch every day, and the control group was asked to avoid wearing a watch for 50 days. Researchers noted the number of occasions when students from both groups arrived later than their scheduled time.
The results of the experiment showed that the mean score of the treatment group was exactly 15 points less than the mean score of the control group. To test whether the results could be explained by random chance, the researchers created the following table, which summarizes the results of 1,000 randomizations of the data with differences of means rounded to the nearest 5 points.
Consider the significance level to be set at 5%, so results lower than 5% can be considered statistically significant.
Treatment Group Mean − Control Group Mean
Frequency
-25
10
-20
18
-15
50
-10
127
-5
195
0
226
5
180
10
117
15
48
20
17
25
12

Part A
Question
Determine the probability of the treatment group’s mean being lower than the control group’s mean by 15 points or more. Then complete the statements.
The significance level is set at 5%, and the probability of the result is %, which is the significance level. The result is
Part B
Question
Which statement is true considering a significance level of 5%?
The result is statistically significant, which implies that wearing a watch does not help people manage their time better.

The result is statistically significant, which implies that wearing a watch helps people manage their time better.

The result is not statistically significant, which implies that wearing a watch does not help people manage their time better.

The result is not statistically significant, which implies that this result could be due to random chance.