4b. The conclusion is: O There is sufficient evidence to reject the claim that salaries in Hartford have no more variation than salaries in Kansas City O There is sufficient evidence to support the claim that salaries in Hartford have no more variation than salaries in Kansas City O There is insufficient evidence to reject the claim that salaries in Hartford have no more variation than salaries in Kansas City O There is insufficient evidence to support the claim that salaries in Hartford have no more variation than salaries in Kansas City

4b. The conclusion is: O There is sufficient evidence to reject the claim that salaries in Hartford have no more variation than salaries in Kansas City O There is sufficient evidence to support the claim that salaries in Hartford have no more variation than salaries in Kansas City O There is insufficient evidence to reject the claim that salaries in Hartford have no more variation than salaries in Kansas City O There is insufficient evidence to support the claim that salaries in Hartford have no more variation than salaries in Kansas City

Name: 4b. The conclusion is:O There is sufficient evidence to reject the cl
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Description: 4b. The conclusion is:O There is sufficient evidence to reject the claim that salaries in Hartford have no more variation thansalaries in Kansas CityO There is sufficient evidence to support the claim that salaries in Hartford have no more variation

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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Concept explainers

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.

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4b. The conclusion is:
O There is sufficient evidence to reject the claim that salaries in Hartford have no more variation than
salaries in Kansas City
O There is sufficient evidence to support the claim that salaries in Hartford have no more variation
than salaries in Kansas City
O There is insufficient evidence to reject the claim that salaries in Hartford have no more variation
than salaries in Kansas City
O There is insufficient evidence to support the claim that salaries in Hartford have no more variation
than salaries in Kansas City
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The table below gives results from random samples of salaries in two cities.
Pop
City
s($)
Hartford
38
2212
2
Kansas City
30
1728
At a = 0.05, test the claim that salaries in Hartford have no more variation than salaries in Kansas City.
1. The null hypothesis is Ho:
Οσισ
O s1 < 82
2. This is a right tailed test with:
dfn =
and dfa =
3a. The STS (to 2 decimals) is F =
3b. The P-value (to 3 decimals) is:
4a. At a = 0.05, the decision is:
O Accept Ha
O Reject Ho
O Do not reject Ho
O Accept Ho

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