In: Statistics and Probability
Practice question 6
A recent article reported that a job awaits only one in three (0.33) new college graduates. The major reasons given were an overabundance of college graduates and a weak economy. A survey of 200 recent graduates from your school revealed that 80 students had jobs. At the .01 significance level, can we conclude that a larger proportion of students at your school have jobs?
A The Null Hypothesis is:
a Job awaiting new college graduates is
_______.
b Job awaiting new college graduates is greater than
_______.
c Job awaiting new college graduates is less
than _______.
d Job awaiting new college graduates is not equal
to _______.
Answer the question by: Selecting the appropriate letter
and then entering the correct number for the Null Hypothesis.
Enter numerical value of the Null Hypothesis as a fraction or a 2
place decimal with a 0 to the left of the decimal
point..
B The Alternate Hypothesis is:
a
Job awaiting new college graduates is equal to
______.
b Job awaiting new college graduates is greater
than ______.
c Job awaiting new college graduates is less than
______.
d Job awaiting new college graduates is not equal
to ______.
Answer the question by:
Selecting
the appropriate letter and then entering the correct number for the
Alternate Hypothesis.
Enter numerical value of the Alternate Hypothesis as a fraction or
a 2 place decimal with a 0 to the left of the decimal
point..
1) The Null Hypothesis is -- Job awaiting new college graduates is equal to 33% of them.
(Option (a) is correct).
Justification: Since null hypothesis always takes into consideration the equality case, here the hypothesized population proportion is 0.33.
2) The Alternate Hypothesis is -- Job awaiting new college graduates is greater than 33% of them.
(Option (b) is correct).
Justification: Since in the alternative case we are to determine if the larger proportion of students at your school have jobs, which is an upper-tailed case.
The test statistic is Z= (p-p_hat)/(((p*(1-p)/n)^0.5); where p = sample proportion and p_hat is the hypothesized value of the population proportion, n = sample size. Z follows standard normal distribution under H0.
We reject H0 if Z(observed) > tau (alpha) where tau(alpha) is the upper alpha point of a standard normal distribution, alpha being the level of significance. Here alpha = 0.01.
Here Z(observed) = 1.278 and tau(alpha) = 2.326, thus, we do not reject H0 and conclude on the basis of the given sample measures at 1% level of significance that there is no significant evidence to support the claim that the Job awaiting new college graduates is greater than 0.33.
The answers are obtained using R-software. Code and output are attached below for verification.