In: Statistics and Probability
The Genetics & IVF Institute conducted a clinical trial of the YSORT method designed to increase the probability of conceiving a boy. As of this writing, 291 babies were born to parents using the YSORT method, and 239 of them were boys. Use a 0.01 significance level to test the claim that the YSORT method is effective in increasing the likelihood that a baby will be a boy
Calculate np and nq
If we assume the selected sample is a simple random sample, then all of the requirements, in this case, are met to conduct the hypothesis test. True or False
The following information is provided: The sample size is N=291, the number of favorable cases is X=239, and the sample proportion is pˉ= X/N= 239/291=0.8213, and the significance level is α=0.01
np= 291*0.8213= 238.9983>10
nq= 291*0.1787=52.0017>10
(1) Null and Alternative Hypotheses
The following null and alternative hypotheses need to be tested:
Ho:p=0.5
Ha:p>0.5
This corresponds to a right-tailed test, for which a z-test for one
population proportion needs to be used.
(2) Rejection Region
Based on the information provided, the significance level is α=0.01, and the critical value for a right-tailed test is zc=2.33.
The rejection region for this right-tailed test is
R={z:z>2.33}
(3) Test Statistics
The z-statistic is computed as follows:
(3) Test Statistics
The z-statistic is computed as follows:
(4) Decision about the null hypothesis
Since it is observed that z=10.962>zc=2.33, it is then concluded that the null hypothesis is rejected.
Using the P-value approach: The p-value is p=0, and since p=0<0.01, it is concluded that the null hypothesis is rejected.
(5) Conclusion
It is concluded that the null hypothesis Ho is rejected. Therefore, there is enough evidence to claim that the population proportion p is greater than p0, at the α=0.01 significance level.
If we assume the selected sample is a simple random sample, then all of the requirements, in this case, are met to conduct the hypothesis test. True