In one area, monthly incomes of technology related workers have a standard deviation of $650. It is believed that the standard deviation of monthly incomes of non-technology workers is higher. A sample of 71 non-technology workers are randomly selected and found to have a standard deviation of $950. Test the claim that non-technology workers have a higher standard deviation. Use a = 0.05. Step 1) State the null and alternative hypotheses. Step 2) Determine the critical value for the level of significance, a. Step 3) Find the test statistic or P-value. Step 4) Will the researcher reject the null hypothesis or do not the null hypothesis? Step 5) Write the conclusion.
In one area, monthly incomes of technology related workers have a standard deviation of $650. It is believed that the standard deviation of monthly incomes of non-technology workers is higher. A sample of 71 non-technology workers are randomly selected and found to have a standard deviation of $950. Test the claim that non-technology workers have a higher standard deviation. Use a = 0.05. Step 1) State the null and alternative hypotheses. Step 2) Determine the critical value for the level of significance, a. Step 3) Find the test statistic or P-value. Step 4) Will the researcher reject the null hypothesis or do not the null hypothesis? Step 5) Write the conclusion.
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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Transcribed Image Text:In one area, monthly incomes of technology related workers have a standard
deviation of $650. It is believed that the standard deviation of monthly incomes of
non-technology workers is higher. A sample of 71 non-technology workers are
randomly selected and found to have a standard deviation of $950. Test the claim
that non-technology workers have a higher standard deviation. Use a = 0.05.
Step 1) State the null and alternative hypotheses.
Step 2) Determine the critical value for the level of significance, a.
Step 3) Find the test statistic or P-value.
Step 4) Will the researcher reject the null hypothesis or do not the null hypothesis?
Step 5) Write the conclusion.
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