. 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 Based on the result of the hypotheses test above: If states want to reduce the number of individuals incarcerated in their state should they put money into programs to reduce unemployment?

. 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...

. 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

Based on the result of the hypotheses test above: If states want to reduce the number of individuals incarcerated in their state should they put money into programs to reduce unemployment?

Jun 09, 2022

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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...

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