The null and alternative hypotheses are:
H0:p1−p2=0H0:p1−p2=0
H1:p1−p2≠0H1:p1−p2≠0
A sample of 340 observations from the first population indicated that X1 is 300. A sample of 320 observations from the second population revealed X2 to be 260. Use the 0.02 significance level to test the hypothesis.
a. State the decision rule. (Negative answer should be indicated by a minus sign. Round the final answers to 2 decimal places.)
The decision rule is to reject H0 if z is outside ( , ).
b. Compute the pooled proportion. (Round the final answer to 2 decimal places.)
The pooled proportion is .
c. Compute the value of the test statistic. (Round the final answer to 2 decimal places.)
The test statistic is z = .
.
e. Determine the p-value. (Round the final answer to 4 decimal places.)
The p-value is .
The null and alternative hypotheses are:
For sample 1:
N1=340, X1 = 300
= 300/340 = 0.88
For sample 2:
N2=320, X2 = 260
= 260/320 = 0.81
Significance level =0.02
a. Decision rule:
At =0.02 the critical value for a two-tailed test is zc = +/- 2.33
The decision rule is to reject H0 if z is outside ( -2.33 , 2.33 ).
b. The pooled proportion is =
c. Test statistic =
e. p-value = 0.0124
As p-value = 0.0124 < 0.02, we reject the null hypothesis.
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