(a) identify the claim and state H(o)and H (a),(b) find the critical value(s) and identify the rejection region(s)(c) find the standardized test statistic x^2(d) decide whether to reject or fail to reject the null hypothesis, and(e) interpret the decision in the context of the original claim. Assume the population is normally distributed. 30. Salaries The annual salaries (in dollars) of 12 randomly chosen nursing supervisors areshown in the table at the left. At a = 0.10, is there enough evidence to reject the claim thatthe standard deviation of the annual salaries is $18,630? (Adapted from Salary.com)Table for Exercise 30Annual salaries68,700 108,300 107,00098,900 73,900 87,80083,400 116,600 94,30096,000 99,300 79,900

(a) Claim: The standard deviation of the annual salaries is $18,630.Based on the claim, the null and…

Answered: 30. Salaries The annual salaries (in…

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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Question

(a) identify the claim and state H(o)and H (a),

(b) find the critical value(s) and identify the rejection region(s)

(d) decide whether to reject or fail to reject the null hypothesis, and

(e) interpret the decision in the context of the original claim. Assume the population is normally distributed.

30. Salaries The annual salaries (in dollars) of 12 randomly chosen nursing supervisors are
shown in the table at the left. At a = 0.10, is there enough evidence to reject the claim that
the standard deviation of the annual salaries is $18,630? (Adapted from Salary.com)
Table for Exercise 30
Annual salaries
68,700 108,300 107,000
98,900 73,900 87,800
83,400 116,600 94,300
96,000 99,300 79,900

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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