Statistics for the Behavioral Sciences
3rd Edition
ISBN: 9781506386256
Author: Gregory J. Privitera
Publisher: SAGE Publications, Inc
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Chapter 17, Problem 26CAP
1.
To determine
Find the size of the effect for the value of Cramer’s V with
2.
To determine
Find the size of the effect for the value of Cramer’s V with
3.
To determine
Find the size of the effect for the value of Cramer’s V with
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For Cramer’s V, values close to 0 indicate a strong association.
Under what condition is the interpretation of Pearson's r and Cramer's V the same?
a. Pearson's r and Cramer's V are never interpreted in the same way
b. when a chi-square analysis is conducted with higher-order data
c. when the null hypothesis is rejected
d. when dfRC = 1
Consider the Cobb- Douglas production function, Q = aK^bL^c ; b and ca) Can be estimated using OLS on the equation Q = a +bK+cL
b) Can be calculated from the covariances of K and L with Qc) cannot be estimated using OLS
d) can be estimated using OLS on the equation log(Q) =log(a) +b log(K) +b log(L)
Chapter 17 Solutions
Statistics for the Behavioral Sciences
Ch. 17.2 - Prob. 1.1LCCh. 17.2 - Prob. 1.2LCCh. 17.2 - Prob. 1.3LCCh. 17.2 - Prob. 1.4LCCh. 17.3 - Prob. 2.1LCCh. 17.3 - Prob. 2.2LCCh. 17.5 - Prob. 3.1LCCh. 17.5 - Prob. 3.2LCCh. 17.5 - Prob. 3.3LCCh. 17.6 - Prob. 4.1LC
Ch. 17.6 - Prob. 4.2LCCh. 17.6 - Prob. 4.3LCCh. 17.9 - Prob. 5.1LCCh. 17.9 - Prob. 5.2LCCh. 17.9 - Prob. 5.3LCCh. 17 - Prob. 1FPCh. 17 - Prob. 2FPCh. 17 - Prob. 3FPCh. 17 - Prob. 4FPCh. 17 - Prob. 5FPCh. 17 - Prob. 6FPCh. 17 - Prob. 7FPCh. 17 - Prob. 8FPCh. 17 - Prob. 9FPCh. 17 - Prob. 10FPCh. 17 - Prob. 11FPCh. 17 - Prob. 12FPCh. 17 - Prob. 13CAPCh. 17 - Prob. 14CAPCh. 17 - Prob. 15CAPCh. 17 - Prob. 16CAPCh. 17 - Prob. 17CAPCh. 17 - Prob. 18CAPCh. 17 - Prob. 19CAPCh. 17 - Prob. 20CAPCh. 17 - Prob. 21CAPCh. 17 - Prob. 22CAPCh. 17 - Prob. 23CAPCh. 17 - Prob. 24CAPCh. 17 - Prob. 25CAPCh. 17 - Prob. 26CAPCh. 17 - Prob. 27PRCh. 17 - Prob. 28PRCh. 17 - Prob. 29PRCh. 17 - Prob. 30PRCh. 17 - Prob. 31PRCh. 17 - Prob. 32PR
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- Which one is correct? Consider the Cobb- Douglas production function, Q = aK^bL^c ; b and ca) Can be estimated using OLS on the equation Q = a +bK+cL b) Can be calculated from the covariances of K and L with Qc) cannot be estimated using OLS d) can be estimated using OLS on the equation log(Q) =log(a) +b log(K) +b log(L)arrow_forwardConsider the Bernoulli I.V.Parrow_forwardWhat would the values of D in terms of t be with the given prompt?arrow_forward
- An instructor has given a short quiz consisting of two parts. For a randomly selected student, let X = the number of points earned on the first part and Y = the number of points earned on the second part. Suppose that the joint pmf of X and Y is given in the accompanying table. y p(x, y) 0 5 10 15 x 0.01 0.06 0.02 0.10 5 0.04 0.16 0.20 0.10 10 0.01 0.15 0.14 0.01 (a) Compute the covariance for X and Y. (Round your answer to two decimal places.)Cov(X, Y) = (b) Compute ? for X and Y. (Round your answer to two decimal places.)? =arrow_forwardLet X1, . . . , Xn, . . . ∼ iid Bern(θ). Consider the Bayes estimator under squared error loss with the Unif(0,1) prior. Show that this estimator is consistent.arrow_forwardA research study comparing three treatment conditions produces T=20 with n=4 for the first treatment, T=10 with n=5 for the second treatment, and T=30 with n=5 for the third treatment. Calculate SSbetween treatments for this data.arrow_forward
- An individual who has automobile insurance from a certain company is randomly selected. Let Y be the number of moving violations for which the individual was cited during the last 3 years. The pmf of Y is the following. Find the following. (a) E[Y ] (b) V[Y]arrow_forwarda researcher collects a group of college students to determine the negative life events that they experienced in the past 5 years. For n=18 participants with 2 or fewer negative experiences, the average well being score is M=42 with SS=398, and for n=16 participants with 5 to 10 negative experiences the average well being score is M=48.6 with SS=370. A. Compute cohens d to measure the size of the effect.arrow_forwardLet X1, . . . , Xn ∼ iid Unif(θ1, θ2), where both θ1 and θ2 are unknown. Find the MOM estimator and compare them to the MLE.arrow_forward
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