In a certain Barangay, 550 random residents are chosen in which 225 are males. At a=0.01, test the hypothesis that more than 35% of the Barangay population are male residents.
The following null and alternative hypotheses for the population proportion needs to be tested:
"H_0:p\\le0.35"
"H_a:p>0.35"
This corresponds to a right-tailed test, for which a z-test for one population proportion will be used.
The z-statistic is computed as follows:
The p-value is "p =P(Z>0.0970)= 0.001834"
Based on the information provided, the significance level is "\\alpha = 0.01," and the critical value for a right-tailed test is "z_c = 2.3263."
The rejection region for this right-tailed test is "R = \\{z: z> 2.3263\\}."
Since it is observed that "z = 2.9054 \\ge2.3263= z_c ," it is then concluded that the null hypothesis is rejected.
Using the P-value approach: The p-value is "p =0.922726," and since "p = 0.001834 \\le 0.01=\\alpha," it is concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population proportion "p" is greater than 0.35, at the "\\alpha = 0.01" significance level.
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