You wish to test the claim μ≠81.6μ≠81.6 at a significance level of 0.0010.001.You believe the population is normally distributed, but you do not know the standard deviation. You obtain the following sample of data:data31.647.470.6107.453.986.370.686.361.74674.4What is the critical value for this test? (Report answer accurate to three decimal places.)critical value = ±±What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic =

Name: You wish to test the claim μ≠81.6μ≠81.6 at a significance level of 0.0
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Description: You wish to test the claim μ≠81.6μ≠81.6 at a significance level of 0.0010.001.You believe the population is normally distributed, but you do not know the standard deviation. You obtain the following sample of data:data31.647.470.6107.453.986.370.686.

Answered: Image /qna-images/answer/686ee755-46dc-4105-9769-8d55c070abd5.jpg

Answered: You believe the population is normally…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

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Chapter1: Combinatorial Analysis

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You wish to test the claim μ≠81.6μ≠81.6 at a significance level of 0.0010.001.

You believe the population is normally distributed, but you do not know the standard deviation. You obtain the following sample of data:

data
31.6
47.4
70.6
107.4
53.9
86.3
70.6
86.3
61.7
46
74.4

What is the critical value for this test? (Report answer accurate to three decimal places.)
critical value = ±±

What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic =

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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