Answer:
a) The decision rule is:
Reject the null hypothesis if P-value is under 0.05 (or the test statistic is larger than z=-1.645).
b) Test statistic z=-0.30
c) The null hypothesis failed to be rejected.
There is not enough evidence to support the claim that there has been a significant decrease in the proportion of students who change their major after the first year in this program.
Explanation:
This is a hypothesis test for a proportion.
The claim we have to test is that there has been a significant decrease in the proportion of students who change their major after the first year in this program.
Then, the null and alternative hypothesis are:
The significance level is α=0.05.
The sample has a size n=100.
The sample proportion is p=0.48.
The standard error of the proportion is:
We can calculate the test statistic as:
This test is a left-tailed test, so the P-value for this test is calculated as:
The P-value (0.3821) is bigger than the significance level (0.05), then the effect is not significant.
The null hypothesis failed to be rejected.
If we use the critical value approach, the critical value of z for this test with 5% significance level is z=1.645.
There is not enough evidence to support the claim that there has been a significant decrease in the proportion of students who change their major after the first year in this program.