197k views
3 votes
Suppose that you are testing the hypotheses Upper H 0​: pequals0.16 vs. Upper H Subscript Upper A​: pnot equals0.16. A sample of size 350 results in a sample proportion of 0.21. ​a) Construct a 90​% confidence interval for p. ​b) Based on the confidence​ interval, can you reject Upper H 0 at alphaequals0.10​? Explain. ​c) What is the difference between the standard error and standard deviation of the sample​ proportion? ​d) Which is used in computing the confidence​ interval?

1 Answer

5 votes

Answer:

Given:

Sample size, n = 350

Sample proportion, P' = 0.21

H0 : p = 0.16

Ha : p ≠ 0.16

a) A 90% confidence interval for P.

Significance level = 1 - confidence interval = 1 - 0.90 = 0.10

For Z critical, we have:

Z critical =
Z_0_._1_/_2 = Z_0_._0_5 = 1.645 (using z table)

Standard error, S.E =
\sqrt{(P'(1 - P'))/(n)} = \sqrt{(0.21(1 - 0.21))/(350)} = 0.02177

Margin of error, E = 1.645 * 0.02177 =0.03581

The 90% confidence interval =

0.21 ± 0.03581

The lower limit: 0.21 - 0.03581 = 0.17419

The upper limit: 0.21+0.03581 =0.24581

b) Based on the confidence interval at significance level = 0.10,

We reject null hypothesis, H0, since 0.16 is not cointained in the confidence interval. We conclude that p ≠ 0.16.

c) Standard error is based on sample proportion p^ while standard deviation is based on hypothesized proportion Po.

d) Standard error is used to compute the confidence interval.

User Rajnish Kumar
by
8.3k points
Welcome to QAmmunity.org, where you can ask questions and receive answers from other members of our community.