Q18View normal standard distribution tables. The test statistic of z= - 1.63 is obtained when testing the claim that p=3/5.a. Using a significance level of a= 0.01, find the critical value(s).b. Should we reject H, or should we fail to reject H,?Click here to view page 1 of the standard normal distribution table.Click here to view page 2 of the standard normal distribution table.a. The critical value(s) is/are z=(Round to two decimal places as needed. Use a comma to separate answers as needed.)b. Choose the correct conclusion below.O A. Reject H,. There is sufficient evidence to warrant rejection of the claim that p=3/5.OB. Reject Ho. There is not sufficient evidence to warrant rejection of the claim that p= 3/5.O C. Fail to reject Ho. There is not sufficient evidence to warrant rejection of the claim that p= 3/5.D D. Fail to reject Ho. There is sufficient evidence to warrant rejection of the claim that p=3/5.

Given , Test statistic = -1.63 Claim : p = 3/5 So, hypothesis is , H0 : p = 35 H1 : p ≠ 35 Two…

Answered: The test statistic of z = 1.63 is…

MATLAB: An Introduction with Applications

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Q18 View normal standard distribution tables.

The test statistic of z= - 1.63 is obtained when testing the claim that p=3/5.
a. Using a significance level of a= 0.01, find the critical value(s).
b. Should we reject H, or should we fail to reject H,?
Click here to view page 1 of the standard normal distribution table.
Click here to view page 2 of the standard normal distribution table.
a. The critical value(s) is/are z=
(Round to two decimal places as needed. Use a comma to separate answers as needed.)
b. Choose the correct conclusion below.
O A. Reject H,. There is sufficient evidence to warrant rejection of the claim that p=3/5.
OB. Reject Ho. There is not sufficient evidence to warrant rejection of the claim that p= 3/5.
O C. Fail to reject Ho. There is not sufficient evidence to warrant rejection of the claim that p= 3/5.
D D. Fail to reject Ho. There is sufficient evidence to warrant rejection of the claim that p=3/5.

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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