Question

You wish to test the following claim ( H a ) at a significance level of α = 0.05 . H o : p 1 = p 2 H a : p 1 ≠ p 2 You obtain 63.1% successes in a sample of size n 1 = 203 from the first population. You obtain 80.9% successes in a sample of size n 2 = 230 from the second population. For this test, you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial distribution. What is the critical value for this test? (Report answer accurate to three decimal places.) critical value = ± What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = The test statistic is... in the critical region not in the critical region This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that...

There is sufficient evidence to warrant rejection of the claim that the first population proportion is not equal to the second population proprtion.

There is not sufficient evidence to warrant rejection of the claim that the first population proportion is not equal to the second population proprtion.

The sample data support the claim that the first population proportion is not equal to the second population proprtion.

There is not sufficient sample evidence to support the claim that the first population proportion is not equal to the second population proprtion.

Answer 1

Given : n1=203 n2=230 , p1=0.631 , p2=0.809

The pooled estimate is ,

Q=1-P=0.2745

a) Hypothesis Vs  

b) The critical values are ,

Rejection region : and

c) The test statistic is ,

d) Decision : Here , the test statistic is in the rejection region

Therefore , This test statistic leads to a decision to reject the null hypothesis.

e) Conclusion : There is not sufficient evidence to warrant rejection of the claim that the first population proportion is not equal to the second population proportion.