Assume that both populations are normally distributed.(a) Test whetherμ1≠μ2at theα=0.01level of significance for the given sample data.(b) Construct a99%confidence interval aboutμ1−μ2. Population 1Population 2 n1111 x1314.8 s3.63.7 (a) Test whetherμ1≠μ2at theα=0.01level of significance for the given sample data.Determine the null and alternative hypothesis for this test. A.H0:μ1≠μ2H1:μ1=μ2 B.H0:μ1≠μ2H1:μ1>μ2 C.H0:μ1=μ2H1:μ1>μ2 D.H0:μ1=μ2H1:

Given Assume that both populations are normally distributed. Population 1 Population 2…

Answered: Assume that both populations are…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Assume that both populations are normally distributed. (a) Test whether μ1≠μ2 at the α=0.01 level of significance for the given sample data. (b) Construct a 99% confidence interval about μ1−μ2.			Population 1	Population 2
n	11	11
x	13	14.8
s	3.6	3.7

(a) Test whether

μ1≠μ2

at the

α=0.01

level of significance for the given sample data.

Determine the null and alternative hypothesis for this test.

H0:μ1≠μ2

H1:μ1=μ2

H0:μ1≠μ2

H1:μ1>μ2

H0:μ1=μ2

H1:μ1>μ2

H0:μ1=μ2

H1:

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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Given

Assume that both populations are normally distributed.

	Population 1	Population 2
n	11	11
x	13	14.8
s	3.6	3.7

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