In: Statistics and Probability
Data from a recent year showed that 72% of the tens of thousands of applicants to a certain program were accepted. A company that trains applicants claimed that 216 of the 280 students it trained that year were accepted. Assume these trainees were representative of the population of applicants. Has the company demonstrated a real improvement over the average? Find z score
Solution:
Given:
p = proportion of the tens of thousands of applicants to a certain program were accepted = 0.72
n = sample size = 280
x = Number of 0 students company trained that year were accepted = 216
We have to test if the company demonstrated a real improvement over the average.
That is we have to test : if p > 0.72 or not.
Thus hypothesis are:
H0: p = 0.72
H1: p > 0.72
Find z score:
where
thus
P-value:
Since this is right tailed test:
P-value = P(Z > z )
P-value = P(Z > 1.92 )
P-value = 1 - P(Z < 1.92 )
Look in z table for z = 1.9 and 0.02 and find corresponding area.
P(Z < 1.92) = 0.9726
thus
P-value = 1 - P(Z < 1.92 )
P-value = 1 - 0.9726
P-value = 0.0274
Decision Rule:
Reject H0, if P-value < 0.05 level of significance, otherwise we
fail to reject H0
Since P-value = 0.0274 < 0.05 level of significance, we reject null hypothesis H0.
Thus we conclude that: the company demonstrated a real improvement over the average.
That is: The P-value provides strong evidence that the program is successful