EBK STATISTICS FOR THE BEHAVIORAL SCIEN
3rd Edition
ISBN: 9781506386249
Author: PRIVITERA
Publisher: VST
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Chapter 6, Problem 25CAP
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7. In a 2011 article, M. Radelet and G. Pierce reported a logistic prediction equation
for the death penalty verdicts in North Carolina. Let Y denote whether a subject
convicted of murder received the death penalty (1=yes), for the defendant's race
h (h1, black; h = 2, white), victim's race i (i = 1, black; i = 2, white), and
number of additional factors j (j = 0, 1, 2). For the model
logit[P(Y = 1)] = a + ß₁₂ + By + B²²,
they reported = -5.26, D
â
BD
=
0, BD
=
0.17, BY = 0, BY
=
0.91, B = 0,
B = 2.02, B = 3.98.
(a) Estimate the probability of receiving the death penalty for the group most
likely to receive it. [4 pts]
(b) If, instead, parameters used constraints 3D = BY = 35 = 0, report the esti-
mates. [3 pts]
h
(c) If, instead, parameters used constraints Σ₁ = Σ₁ BY = Σ; B = 0, report
the estimates. [3 pts]
Hint the probabilities, odds and odds ratios do not change with constraints.
Solve please and thank you!
Solve please and thank you!
Chapter 6 Solutions
EBK STATISTICS FOR THE BEHAVIORAL SCIEN
Ch. 6.3 - Prob. 1.1LCCh. 6.3 - Prob. 1.2LCCh. 6.3 - Prob. 1.3LCCh. 6.3 - Prob. 1.4LCCh. 6.5 - Prob. 2.1LCCh. 6.5 - Prob. 2.2LCCh. 6.5 - Prob. 2.3LCCh. 6.6 - Prob. 3.1LCCh. 6.6 - Prob. 3.2LCCh. 6.6 - Prob. 3.3LC
Ch. 6.6 - Prob. 3.4LCCh. 6.7 - Prob. 4.1LCCh. 6.7 - Prob. 4.2LCCh. 6.7 - Prob. 4.3LCCh. 6.9 - Prob. 5.1LCCh. 6.9 - Prob. 5.2LCCh. 6.9 - Prob. 5.3LCCh. 6.10 - Prob. 6.1LCCh. 6.10 - Prob. 6.2LCCh. 6 - Prob. 1FPCh. 6 - Prob. 2FPCh. 6 - Prob. 3FPCh. 6 - Prob. 4FPCh. 6 - Prob. 5FPCh. 6 - Prob. 6FPCh. 6 - Prob. 7FPCh. 6 - Prob. 8FPCh. 6 - Prob. 9FPCh. 6 - Prob. 10FPCh. 6 - Prob. 11CAPCh. 6 - Prob. 12CAPCh. 6 - Prob. 13CAPCh. 6 - Prob. 14CAPCh. 6 - Prob. 15CAPCh. 6 - Prob. 16CAPCh. 6 - Prob. 17CAPCh. 6 - Prob. 18CAPCh. 6 - Prob. 19CAPCh. 6 - Prob. 20CAPCh. 6 - Prob. 21CAPCh. 6 - Prob. 22CAPCh. 6 - Prob. 23CAPCh. 6 - Prob. 24CAPCh. 6 - Prob. 25CAPCh. 6 - Prob. 26PRCh. 6 - Prob. 27PRCh. 6 - Prob. 28PRCh. 6 - Prob. 29PRCh. 6 - Prob. 30PRCh. 6 - Prob. 31PRCh. 6 - Prob. 32PR
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