You wish to test the following claim (HaHa) at a significance level of α=0.10 Ho:μ=85.5H Ha:μ≠85.5You believe the population is normally distributed, but you do not know the standard deviation. You obtain the following sample of data:data555277.168.574.284.184.688.457.874.2What 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 following claim (HaHa) at a significance level of
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Description: You wish to test the following claim (HaHa) at a significance level of α=0.10 Ho:μ=85.5H Ha:μ≠85.5You believe the population is normally distributed, but you do not know the standard deviation. You obtain the following sample of data:data55

x (X-xbar)^2 55 275.2281 52 383.7681 77.1 30.3601 68.5 9.5481 74.2 6.8121 84.1 156.5001…

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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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You wish to test the following claim (HaHa) at a significance level of α=0.10

Ho:μ=85.5H
Ha:μ≠85.5

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

data
55
52
77.1
68.5
74.2
84.1
84.6
88.4
57.8
74.2

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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