Answer:
B. Z=1.98
Step-by-step explanation:
1) Data given and notation
represent the number of sampled freshmen finished in the bottom third of their high school class in 1993
represent the number of sampled freshmen finished in the bottom third of their high school class in 1997
sample 1 selected
sample 2 selected
represent the proportion of sampled freshmen finished in the bottom third of their high school class in 1993
represent the proportion ofsampled freshmen finished in the bottom third of their high school class in 1997
z would represent the statistic (variable of interest)
represent the value for the test (variable of interest)
2) Concepts and formulas to use
We need to conduct a hypothesis in order to check if the proportion graduated in the bottom third of their high school class is higher for 1993 than 1997 , the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
We need to apply a z test to compare proportions, and the statistic is given by:
(1)
Where 
3) Calculate the statistic
Replacing in formula (1) the values obtained we got this:
4) Statistical decision
For this case we don't have a significance level provided 
, but we can calculate the p value for this test.
Since is a one side test the p value would be:
If we compare the p value and using any significance level for example 
always 
so we can conclude that we have enough evidence to reject the null hypothesis, and we can say the the proportion graduated in the bottom third of their high school classes in 1993 is not significant higher than the proportion in 1997.
