A random sample of 30 binomials trials resulted in 12 successes. Test the claim that the population proportion of successes does not equal 0.50 . Use a level of significance of 0.05. Check Requirements Can a normal distribution be used for the pˆ distribution? Why or why not?State the hypotheses.Compute pˆand the corresponding standardized sample test statistic.Find the P-value of the test statistic.Do you reject or fail to reject H0Explain.

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Description: A random sample of 30 binomials trials resulted in 12 successes. Test the claim that the population proportion of successes does not equal 0.50 . Use a level of significance of 0.05. Check Requirements Can a normal distribution be used for the pˆ di

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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A random sample of 30 binomials trials resulted in 12 successes. Test the claim that the population proportion of successes does not equal 0.50 . Use a level of significance of 0.05.

Check Requirements Can a normal distribution be used for the pˆ distribution? Why or why not?
State the hypotheses.
Compute pˆand the corresponding standardized sample test statistic.
Find the P-value of the test statistic.
Do you reject or fail to reject H0Explain.

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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Sample of size=n=30 and the number of success=x=12

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