A professor at the University of New Hampshire was interested in evaluating the effect of the unemployment rate on the incarceration rate. Using data from 50 states and the District of Columbia (n = 51), the researcher computed the Pearson’s correlation coefficient between the two variables. The results are presented below. Correlations IncarcerationUnemploymentIncarcerationPearson Correlation1.209Sig. (2-tailed) .142N5151UnemploymentPearson Correlation.2091Sig. (2-tailed).142 N5151 Why were rates used instead of raw numbers? Using an alpha level of 0.05 and the four steps of the hypothesis testing process, test the research hypotheses that unemployment increases incarceration.Step 1 Step 2

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Answered: A professor at the University of New…

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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A professor at the University of New Hampshire was interested in evaluating the effect of the unemployment rate on the incarceration rate. Using data from 50 states and the District of Columbia (n = 51), the researcher computed the Pearson’s correlation coefficient between the two variables. The results are presented below.

Correlations
	Incarceration	Unemployment
Incarceration	Pearson Correlation	1	.209
Sig. (2-tailed)		.142
N	51	51
Unemployment	Pearson Correlation	.209	1
Sig. (2-tailed)	.142
N	51	51

Why were rates used instead of raw numbers?
Using an alpha level of 0.05 and the four steps of the hypothesis testing process, test the research hypotheses that unemployment increases incarceration.
Step 1
Step 2