The test statistic ofz=2.48is obtained when testing the claim thatp≠0.632.a. Identify the hypothesis test as being two-tailed, left-tailed, or right-tailed.b. Find the P-value.c. Using a significance level ofα=0.05,should we rejectH0or should we fail to rejectH0?Click here to view page 1 of the standard normal distribution table.LOADING...Click here to view page 2 of the standard normal distribution table.LOADING... a. This is atwo-tailed test.b. P-value=nothing(Round to three decimal places as needed.)c. Choose the correct conclusion below. A.RejectH0.Thereissufficient evidence to support the claim thatp≠0.632. B.Fail to rejectH0.Thereissufficient evidence to support the claim thatp≠0.632. C.Fail to rejectH0.Thereis notsufficient evidence to support the claim thatp≠0.632. D.RejectH0.Thereis notsufficient evidence to support the claim thatp≠0.632.

Given data: Test statistic:Z= 2.48 Claim :p≠0.632. Significance level = 0.05

Answered: The test statistic of z=2.48 is…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

The test statistic of

z=2.48

is obtained when testing the claim that

p≠0.632.

a. Identify the hypothesis test as being two-tailed, left-tailed, or right-tailed.

b. Find the P-value.

c. Using a significance level of

α=0.05,

should we reject

or should we fail to reject

H0?

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. This is a

two-tailed

test.

P-value=nothing

(Round to three decimal places as needed.)

c. Choose the correct conclusion below.

Reject

H0.

There

sufficient evidence to support the claim that

p≠0.632.

Fail to reject

H0.

There

sufficient evidence to support the claim that

p≠0.632.

Fail to reject

H0.

There

is not

sufficient evidence to support the claim that

p≠0.632.

Reject

H0.

There

is not

sufficient evidence to support the claim that

p≠0.632.

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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