In: Statistics and Probability
A presidential candidate's aide estimates that, among all college students, the proportion p who intend to vote in the upcoming election is at least 60%. If 118 out of a random sample of 225 college students expressed an intent to vote, can we reject the aide's estimate at the 0.05 level of significance?
Perform a one-tailed test. Then fill in the table below.
Carry your intermediate computations to at least three decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.)
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A presidential candidate's aide estimates that, among all college students, the proportion p who intends to vote in the upcoming election is at least 60% so population proportion po= 0.60.
so, the claim is po>=0.60.
Now given that X = 118 out of a random sample of n = 225 college students expressed an intent to vote, so the sample proportion will be:
Now to check the normality condition for hypothesis testing the condition is:
po*(1-po)*n >=10
so, 0.60(1-0.60)*225 = 54 which is greater than 10 so, assuming normal distribution Z test is applicable, based on the claim the hypotheses are:
a) Ho: p>=0.60
Ha: p<0.60
b) Based on the hypothesis it will be left tailed test. ( Z Test)
c)Test Statistic:
The test statistic is calculated as:
Rejection region:
At 0.05 level of significance, the critical value is computed using excel formula for normal distribution which is =NORM.S.INV(0.05), thus Zc computed as 1.645.
So, reject Ho if Z <Zc or the P-value is less than 0.05
P-value:
The P-value is computed using excel formula =NORM.S.DIST(-2.313,TRUE) which results in P-value = 0.0104.
Conclusion:
Since P-value is less than 0.05 and Z is less than Zc hence we reject the null hypothesis and conclude that there is sufficient evidence to warrant the claim that the proportion p who intends to vote in the upcoming election is at least 60%.