Sixty gym members were randomly selected, and their weights were recorded and inputted into MINITAB. The results are summarized in Exhibit 1 below. One-Sample Z: WeightTest of mu = 195 vs < mu 195The assumed standard deviation = 22.11VariableNMeanStDevSEMeanWeight60193.1322.11*Calculate the p-value for this test. Show ALL calculations for this problem. DO NOT use EXCEL, the Normal Distribution Table is to be used ONLY.State the conclusion of this test for a 5% significance Give a reason for your answer.

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Description: Sixty gym members were randomly selected, and their weights were recorded and inputted into MINITAB. The results are summarized in Exhibit 1 below. One-Sample Z: WeightTest of mu = 195 vs < mu 195The assumed standard deviation = 22.11VariableNMeanStD

Given Information One-Sample Z: Weight Test of mu = 195 vs < mu 195 The assumed standard…

Answered: Sixty gym members were randomly…

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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Sixty gym members were randomly selected, and their weights were recorded and inputted into MINITAB. The results are summarized in Exhibit 1 below.

One-Sample Z: Weight

Test of mu = 195 vs < mu 195

The assumed standard deviation = 22.11

Variable	N	Mean	StDev	SEMean
Weight	60	193.13	22.11	*

Calculate the p-value for this test. Show ALL calculations for this problem. DO NOT use EXCEL, the Normal Distribution Table is to be used ONLY.
State the conclusion of this test for a 5% significance Give a reason for your answer.

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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