Final answer:
The correct statistical tests for the given scenarios are the two sample t-test for comparing class averages, the two sample proportion test for conviction rates and coin flip hands differences, and the paired t-test for comparing distances by two golf drivers.
Step-by-step explanation:
In statistics, we often need to determine the significance of the difference between sample statistics. Depending on the type of data and the question posed, different statistical tests are used. Here we discuss the appropriate tests for various scenarios.
a. Two Sample Proportion Test
The correct test for investigating the significance of the difference in class averages of Jamarr and Jake's class is the two sample t-test. This test compares the means of two independent groups.
b. Two Sample Proportion Test
For examining the difference in the conviction rates between 2008 and 2021, the two sample proportion test is suitable. We are comparing proportions from two independent samples.
c. Two Sample Proportion Test
When comparing the number of heads obtained using right versus left hands, the two sample proportion test is again the test of choice since we have two independent samples and we are comparing proportions.
d. Paired t Test
The scenario with the golf pro involves dependent samples - the same clients using two different drivers. Therefore, the appropriate test is the paired t-test, which compares the means of two related groups.
e. Two Sample Proportion Test
Lastly, the concern about an increase in crashes due to distracted driving involves comparing proportions at two different points in time, which calls for a two sample proportion test.