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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Exercise ( H.W):
4/ A survey of 500 television watchers produced the following
information.
football games
195 = basketball games
115 = hockey games
hockey and basketball
285watch
50 =
45 = football and basketball
70
football and hockey
%3D
50 do not watch any of three games
a/ How many people in the survey watch all three games
b/ How many people in the survey watch exactly one of the three games
The following table was generated from the sample data of 10 junior high students regarding the average number of hours they are unsupervised per nigh, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1) is the number of hours unsupervised each night, and the second independent variable (x2) is the number of hours of video games each night.
Coefficients
Standard Error
t-Stat
p-value
Intercept
50.375000
7.719473
6.525704
0.000326
Hours Unsupervised
6.682500
1.484194
4.502444
0.002790
Hours Playing Video Games
1.535000
1.145568
1.339947
0.222124
Step 1: Write the multiple regression equation for the computer output given.
y=_+_x1+_x2
Step 2: Indicate if any of the independent variables could be eliminated at the 0.05 level of significance.
A) x1
B) x2
C) Keep all variables
You have a table showing the following data:
Crime
No
Yes
Total
Intelligence
High
10
0
10
Medium
150
20
170
Low
80
20
100
Total
340
40
380
a. What would be more appropriate for this table (3x2)? Phi or Cramer's V?
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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- The following table was generated from the sample data of 10 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1) is the number of hours unsupervised each night, and the second independent variable (x2) is the number of hours of video games each night. Intercept 52.536016 9.353956 5.616449 0.000802 Hours Unsupervised 7.173889 1.656518 4.330703 0.003435 Hours Playing Video Games 2.025042 1.731352 1.169631 0.280429 Step 1 of 2:Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Step 2 of 2:Indicate if any of the independent variables could be eliminated at the 0.010.01 level of significance. (x1, x2, or keep all variables)arrow_forwardThe following table was generated from the sample data of 10 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1) is the number of hours unsupervised each night, and the second independent variable (x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 62.711817 4.607133 13.611896 0.000010 Hours Unsupervised 0.635048 0.915495 0.693666 0.513836 Hours Playing Video Games 7.528738 1.296727 5.805955 0.001145 Copy Data Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Answer 田 Tables 国 Keypad How to enter your answer (opens in new window) Keyboard Shortcuts X +arrow_forwardThe following table was generated from the sample data of 10 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1) is the number of hours unsupervised each night, and the second independent variable (x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 62.711817 4.607133 13.611896 0.000010 Hours Unsupervised 0.635048 0.915495 0.693666 0.513836 Hours Playing Video Games 7.528738 1.296727 5.805955 0.001145 Copy Data Step 2 of 2: Indicate if any of the independent variables could be eliminated at the 0.05 level of significance. E Tables E Keypad Answer Keyboard Shortcuts O x2 O Keep all variablesarrow_forward
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