In: Statistics and Probability
Assume that you plan to use a significance level of \alphaα = 0.05 to test the claim that p1 = p2, Use the given sample sizes and numbers of successes to find the pooled estimate p-bar. Round your answer to the nearest thousandth. n1 = 236 n2 = 307 x1 = 77 x2 = 66
null Hypothesis: Ho: p1-p2 | = | 0.00 | |
alternate Hypothesis: Ha: p1-p2 | ≠ | 0.00 |
for 0.05 level with two tailed test , critical value of z= | 1.960 | ||
Decision rule : reject Ho if absolute value of test statistic |z|>1.96 |
Pop 1 | Pop 2 | ||
x1 = | 77 | x2 = | 66 |
p̂1=x1/n1 = | 0.3263 | p̂2=x2/n2 = | 0.2150 |
n1 = | 236 | n2 = | 307 |
estimated prop. diff =p̂1-p̂2 = | 0.1113 | ||
pooled prop p̂ =(x1+x2)/(n1+n2)= | 0.2634 | ||
std error Se=√(p̂1*(1-p̂1)*(1/n1+1/n2) = | 0.0381 | ||
test stat z=(p̂1-p̂2)/Se = | 2.92 |
since test statistic falls in rejection region we reject null hypothesis |
we have sufficient evidence to conclude that population proportions are not equal |