Answer:
a) The decision rule is: if the P-value is below the level of significance, the null hypothesis is rejected.
b) The value of the test statistic is z=-0.30.
c) 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 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 0.05.
The sample has a size n=100.
The sample proportion is p=0.48.
The standard error of the proportion is:
Then, we can calculate the z-statistic as:
This test is a left-tailed test, so the P-value for this test is calculated as:
As the P-value (0.3821) is bigger than the significance level (0.05), so the effect is not significant.
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.