Decide whether the normal sampling distribution can be used. If it can be used, test the claim about the difference between two population proportionsp1andp2at the given level of significanceαusing the given sample statistics. Assume the sample statistics are from independent random samples. Claim:p1=p2,α=0.01Sample statistics:x1=48,n1=157andx2=70,n2=201

Name: Decide whether the normal sampling distribution can be used. If it can
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Description: Decide whether the normal sampling distribution can be used. If it can be used, test the claim about the difference between two population proportionsp1andp2at the given level of significanceαusing the given sample statistics. Assume the sample stat

Yes, normal sampling distribution can be used because both 'np' and 'nq' are greater than or equal…

Answered: Decide whether the normal sampling…

MATLAB: An Introduction with Applications

6th Edition

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 difference between two population proportions

and

at the given level of significance

using the given sample statistics. Assume the sample statistics are from independent random samples.

Claim:	p1=p2, α=0.01
Sample statistics:	x1=48, n1=157 and x2=70, n2=201

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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