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A recent study conducted by researchers in Israel found that the time in which a particular parole board was heard (e.g. beginning of the morning

A recent study conducted by researchers in Israel found that the time in which a particular parole board was heard (e.g. beginning of the morning session, midway through the morning session, or right before lunch break) impacted the likelihood of whether the parole board would grant or deny parole to prisons. In order to test this same phenomenon in the United States, a group of researchers collected data from observations of 232 parole board cases involving the decision to either grant or deny parole to currently incarcerated offenders. After reviewing the data, the researchers coded two pieces of information for each parole board case. The first was a measure of parole decision, coded as: 1) grant parole to inmate; or 2) deny parole to inmate. The second measure reflected the timing within the session in which the case was heard. This was coded as: 1) beginning of session; 2) middle of session; or 3) near end of session. To analyze the impact of timing of case presentation on case outcome, the researchers decided to use 1_______. In this analysis, 2_________ was the dependent variable and it is at the 3________ level of measurement. The results of their main hypothesis test produced a statistic value of 6.378 with two degrees of freedom. The associated p-value was .041. From these results, the researchers decided to 4_______ a significant association between timing of case presentation and case outcome. To measure the strength of association between the variables, the researchers computed the 5________ statistic, which had a value of .521, indicating _________. Question 1 1. an independent samples t-test 2. an ANOVA 3. a Gamma 4. A chi-square test 5. Multiple linear regression analysis Question 2 1. Timing of case presentation 2. Offender eligible for parole 3. Case outcome 4. Parole board judge Question 3 1. Nominal 2. Ordinal 3. Interval 4. ratio Question 4 1. Reject the null hypothesis and conclude that there was 2. Reject the null hypothesis and conclude that there was not 3. Fail to reject the null hypothesis and conclude that there was 4. Fail to reject the null hypothesis and conclude that there was not Question 5 1. Gamma 2. Chi-square 3. Correlation 4. Cramer's V Question 6 1. Little to no association 2. A low association 3. A moderate association 4. A high association

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