Use the normal distribution and the given sample results to complete the test of the given hypotheses. Assume the results come from a random sample and use a 5% significance level. TEST Ho: p=0.5 vs Ha: p>0.5 using the sample results p̂ = 0.57 with n= 695 VERIFY THAT THE NORMAL APPROXIMATION APPLIES COMPUTE THE TEST STATISTIC WITH A CRITICAL VALUE OF 1.645, MAKE A CONCLUSION AND INTERPRET

Use the normal distribution and the given sample results to complete the test of the given hypotheses. Assume the results come from a random sample and use a 5% significance level. TEST Ho: p=0.5 vs Ha: p>0.5 using the sample results p̂ = 0.57 with n= 695 VERIFY THAT THE NORMAL APPROXIMATION APPLIES COMPUTE THE TEST STATISTIC WITH A CRITICAL VALUE OF 1.645, MAKE A CONCLUSION AND INTERPRET

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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Use the normal distribution and the given sample results to complete the test of the given hypotheses. Assume the results come from a random sample and use a 5% significance level. TEST Ho: p=0.5 vs Ha: p>0.5 using the sample results p̂ = 0.57 with n= 695

VERIFY THAT THE NORMAL APPROXIMATION APPLIES

COMPUTE THE TEST STATISTIC

WITH A CRITICAL VALUE OF 1.645, MAKE A CONCLUSION AND INTERPRET

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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