In: Statistics and Probability
An Office of Admission document at a certain university claims that 55.3% of their undergraduates are female. To test this claim, a random sample of 220 undergraduates was selected. In this sample, 56.1% were female. Is there sufficient evidence to conclude that the document's claim is false? Carry out a hypothesis test at a 8% significance level.
A. The value of the test statistic is:
B. The p-value is
D. Your decision for the hypothesis test:
A. Reject H0H0.
B. Do Not Reject H1H1.
C. Reject H1H1.
D. Do Not Reject H0H0.
Given that An Office of Admission document at a certain university claims that 55.3% of their undergraduates are female.
So, the Hypotheses are:
Based on the hypotheses it will be a two-tailed test.
Given that a random sample of n=220 undergraduates was selected. In this sample, the sample proportion of =56.1% were female.
Requirements for Hypothesis testing:
The sample is less than 5% of the population also the sample is randomly selected so, the requirement for hypothesis testing is satisfied.
Rejection region:
At 0.08 level of significance reject Ho if |Z|>Z0.04 =1.75 ( Calculated using the Z table shown below or by using excel tool using formula{ =NORM.S.INV(0.96)})
a) Test statistic:
The test statistic is calculated as:
b) P-value:
The P-value is computed using the Z table shown below at Z score calculated above as:
P-value=0.8103
c) Decision:
Since P-value>0.08 and |Z| <Z0.04 =1.75 hence Do not reject the null hypothesis(Ho).
Conclusion:
Since we do not reject the null hypothesis we conclude that there is not sufficient evidence to warrant the claim.
The Z table: