Decide whether the normal sampling distribution can be used. If it can be used, test the claim about the population proportion p at the given level of significanceαusing the given sample statistics.Claim:p<0.14;α=0.01;Sample statistics:p=0.12,n=25 Decide whether the normal sampling distribution can be used. If it can be used, test the claim about the population proportion p at the given level of significance ausing the given sample statistics.Claim: p < 0.14; a = 0.01; Sample statistics: p = 0.12, n = 25Can the normal sampling distribution be used?O A. No, because np is less than 5.O B. No, because ng is less than 5.O C. Yes, because both np and nq are greater than or equal to 5.O D. Yes, because pq is greater than a = 0.01.State the null and alternative hypotheses. Choose the correct answer below.O A. Ho: ps0.14Hạ: p>0.14О В. Но: р3 0.14Hi p = 0.14o C. Ho: p 2 0.14H,ip<0.14O D. The test cannot be performed.Determine the critical value(s). Select the correct choice below and, if necessary, fill in the answer box to complete your choice.O A. The critical value(s) is/are(Round to two decimal places as needed. Use a comma to separate answers as needed.)O B. The test cannot be performed.Find the z-test statistic. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.O A. z=(Round to two decimal places as needed.)O B. The test cannot be performed.What is the result of the test?O A. Reject Ho. The data provide sufficient evidence to support the claim.O B. Fail to reject Hn. The data do not provide sufficient evidence to support the claim.O C. Reject Ho: The data do not provide sufficient evidence to support the claim.O D. Fail to reject Ho. The data provide sufficient evidence to support the claim.O E. The test cannot be performed.

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Description: Decide whether the normal sampling distribution can be used. If it can be used, test the claim about the population proportion p at the given level of significanceαusing the given sample statistics.Claim:p<0.14;α=0.01;Sample statistics:p=0.12,n

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MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Decide whether the normal sampling distribution can be used. If it can be used, test the claim about the population proportion p at the given level of significance

using the given sample statistics.

Claim:

p<0.14;

α=0.01;

Sample statistics:

p=0.12,

n=25

Decide whether the normal sampling distribution can be used. If it can be used, test the claim about the population proportion p at the given level of significance a
using the given sample statistics.
Claim: p < 0.14; a = 0.01; Sample statistics: p = 0.12, n = 25
Can the normal sampling distribution be used?
O A. No, because np is less than 5.
O B. No, because ng is less than 5.
O C. Yes, because both np and nq are greater than or equal to 5.
O D. Yes, because pq is greater than a = 0.01.
State the null and alternative hypotheses. Choose the correct answer below.
O A. Ho: ps0.14
Hạ: p>0.14
О В. Но: р3 0.14
Hi p = 0.14
o C. Ho: p 2 0.14
H,ip<0.14
O D. The test cannot be performed.
Determine the critical value(s). Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
O A. The critical value(s) is/are
(Round to two decimal places as needed. Use a comma to separate answers as needed.)
O B. The test cannot be performed.
Find the z-test statistic. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
O A. z=
(Round to two decimal places as needed.)
O B. The test cannot be performed.
What is the result of the test?
O A. Reject Ho. The data provide sufficient evidence to support the claim.
O B. Fail to reject Hn. The data do not provide sufficient evidence to support the claim.
O C. Reject Ho: The data do not provide sufficient evidence to support the claim.
O D. Fail to reject Ho. The data provide sufficient evidence to support the claim.
O E. The test cannot be performed.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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