Can the normal sampling distribution be used?State the null and alternative hypotheses.Determine the critical value(s).Find the z-test statistic.What is the result of the test? 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 samplestatistics.Claim: p#0.25; a = 0.01; Sample statistics: p= 0.19, n = 200

Name: Can the normal sampling distribution be used?State the null and alter
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Description: Can the normal sampling distribution be used?State the null and alternative hypotheses.Determine the critical value(s).Find the z-test statistic.What is the result of the test? Decide whether the normal sampling distribution can be used. If it ca

Determine whether the normal sampling distribution can be used or not. The normal sampling…

Answered: Decide whether the normal sampling…

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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Can the normal sampling distribution be used?

State the null and alternative hypotheses.

Determine the critical value(s).

Find the z-test statistic.

What is the result of the test?

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#0.25; a = 0.01; Sample statistics: p= 0.19, n = 200

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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