In: Statistics and Probability
Reports suggest that the average credit card debt for recent college graduates is $3000. FedLoan Servicing believes the average debt of graduates is much less than this, so it conducts a study of 50 randomly selected graduates and finds that the average debt is $2975, and the population standard deviation is $1000. Let’s conduct the test based on a Type I error of α=0.05.
Solution:
Given: the average credit card debt for recent college graduates is $3000.
FedLoan Servicing believes the average debt of graduates is much less than this.
That is we have to test if mean
Sample size = n = 50
Sample mean =
Population standard deviation =
Level of significance = α=0.05
Step 1) State H0 and H1:
Vs
Step 2) Test statistic:
Step 3) Find z critical value:
Level of significance = α=0.05
This is left tailed test( Since H1 is < type),
Thus look in z table for Area = 0.0500 or its closest area and find z value
Area 0.0500 is in between 0.0495 and 0.0505 and both the area are at same distance from 0.0500
Thus we look for both area and find both z values
Thus Area 0.0495 corresponds to -1.65 and 0.0505 corresponds to -1.64
Thus average of both z values is : ( -1.64+ - 1.65) / 2 = -1.645
Thus z critical value = -1.645
Step 4) Decision Rule:
Reject null hypothesis ,if z test statistic value < z
critical value = -1.645 , otherwise we fail to reject H0.
Since z test statistic value = > z critical value = -1.645 , we fail to reject H0.
Step 5) Conclusion:
At 0.05 level of significance, we do not have sufficient evidence to conclude that the average debt of graduates is much less than $3000.