According to a research study, people are able to better manage their time when they wear watches than when they use mobile phones or other gadgets to keep track of time. To test this, 300 college students were randomized 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. The number of occasions when students from both groups arrived later than their scheduled time was noted. 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 Determine the probability of the treatment group’s mean being lower than the control group’s mean by 15 points or more.             Font Sizes                         Characters used: 0 / 15000 Part B Is the result statistically significant? Explain your answer.             Font Sizes                         Characters used: 0 / 15000 Part C What does your answer suggest about wearing a watch and managing time?             Font Sizes                         Characters used: 0 / 15000

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According to a research study, people are able to better manage their time when they wear watches than when they use mobile phones or other gadgets to keep track of time.

To test this, 300 college students were randomized 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. The number of occasions when students from both groups arrived later than their scheduled time was noted.

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

Determine the probability of the treatment group’s mean being lower than the control group’s mean by 15 points or more.

 
 
 
 
 
 
Font Sizes
 
 
 
 
 
 
 
 
 
 
 
 
Characters used: 0 / 15000

Part B

Is the result statistically significant? Explain your answer.

 
 
 
 
 
 
Font Sizes
 
 
 
 
 
 
 
 
 
 
 
 
Characters used: 0 / 15000

Part C

What does your answer suggest about wearing a watch and managing time?

 
 
 
 
 
 
Font Sizes
 
 
 
 
 
 
 
 
 
 
 
 
Characters used: 0 / 15000
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