Test the claim about the population variance at the level of significance. Assume the population is normally distributed (I specifically need the p-Value) Test the claim about the population variance o² at the level of significance a. Assume the population is normally←distributed.Claim: o² #33.8; a = 0.102Sample statistics: s = 36.7, n = 101Write the null and alternative hypotheses.Ho: 0²H₂: 0²(Type integers or decimals. Do not round.)Calculate the standardized test statistic.x² = (Round to two decimal places as needed.)Determine the P-value.P-value = (Round to three decimal places as needed.)Decide whether to reject or fail to reject the null hypothesis and interpret the decision in the context of the claim.Ho. Thereenough evidence at the 10% level of significance tothe claim.

The question is about hypo. testing Given : sample stat : sample var. ( s2 ) = 36.7 Sample size ( n…

Answered: Test the claim about the population…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Section: Chapter Questions

Problem 1P

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Test the claim about the population variance at the level of significance. Assume the population is normally distributed

(I specifically need the p-Value)

Test the claim about the population variance o² at the level of significance a. Assume the population is normally
←
distributed.
Claim: o² #33.8; a = 0.10
2
Sample statistics: s = 36.7, n = 101
Write the null and alternative hypotheses.
Ho: 0²
H₂: 0²
(Type integers or decimals. Do not round.)
Calculate the standardized test statistic.
x² = (Round to two decimal places as needed.)
Determine the P-value.
P-value = (Round to three decimal places as needed.)
Decide whether to reject or fail to reject the null hypothesis and interpret the decision in the context of the claim.
Ho. There
enough evidence at the 10% level of significance to
the claim.

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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