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Recent research by Wilson and Daly (2006) tested the idea that juvenile criminal

ID: 3315819 • Letter: R

Question

Recent research by Wilson and Daly (2006) tested the idea that juvenile criminal offenders think about future consequences less than do noncriminal juveniles. To test the idea that juvenile offenders discount future consequences of their behavior, the researchers had juvenile offenders and nonoffenders engage in a decision task with real monetary consequences. The researchers found that the proportion of “future discounting” participants did not differ for the two groups.

1. What type of hypothesis test was used in this example and how do you know?

a. independent samples t test;the study is comparing two separate samples to look for a difference between mean values

b.regression; the study is using the difference to predict the amount of future discounting that would occur

c.correlation; the study is looking for a relationship between offenders and non-offenders

d.paired samples t-test; the study is using pairs of offenders and non-offenders and looking for a mean difference

2. What p value would likely be associated with these study results?

a. 0.08

b.0.00

c.0.04

Explanation / Answer

a) In first case the researcher idea that juvenile offenders discount future consequences of their behavior. The researchers found that the proportion of “future discounting” participants did not differ for the two groups.So, for this kind of issue we use regression analysis for future prediction using privious data. So, the option b is correct.

b.regression; the study is using the difference to predict the amount of future discounting that would occur

b) The calculation of p-value first we have to set significance level. Usually we set 0.05 significance level. and we compare our p-value with significance level.

If p-value is less than 0.05 we rejet Null Hypothesis.

If p-value is greater than 0.05 we fail to eject Null Hypothesis.

According to researchers requirement he can set significance level then we compare p-value for that setted significance level.