EBK STATISTICS FOR THE BEHAVIORAL SCIEN
3rd Edition
ISBN: 9781506386249
Author: PRIVITERA
Publisher: VST
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Chapter 15, Problem 14CAP
1.
To determine
Identify whether
2.
To determine
Identify whether
3.
To determine
Identify whether
4.
To determine
Identify whether
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For each example, state whether one correlation is stronger than the other. If one is stronger, then state which is the
stronger correlation: (a) r = +0.02, r = 0.20 (b) r+0.50, r = -0.50 (c) r = 0.87, r = 0.78 (d) r
= 0, r = -1 Explain your answers
-
-
Q6
State each case whether you would expect a positive correlation, a negative, or no correlation.
2) A person running and the number of stars in the sky.
Chapter 15 Solutions
EBK STATISTICS FOR THE BEHAVIORAL SCIEN
Ch. 15.2 - Prob. 1.1LCCh. 15.2 - Prob. 1.2LCCh. 15.2 - Prob. 1.3LCCh. 15.2 - Prob. 1.4LCCh. 15.2 - Prob. 1.5LCCh. 15.4 - Prob. 2.1LCCh. 15.4 - Prob. 2.2LCCh. 15.4 - Prob. 2.3LCCh. 15.4 - Prob. 2.4LCCh. 15.6 - Prob. 3.1LC
Ch. 15.6 - Prob. 3.2LCCh. 15.6 - Prob. 3.3LCCh. 15.6 - Prob. 3.4LCCh. 15.8 - Prob. 4.1LCCh. 15.8 - Prob. 4.2LCCh. 15.8 - Prob. 4.3LCCh. 15.10 - Prob. 5.1LCCh. 15.10 - Prob. 5.2LCCh. 15.10 - Prob. 5.3LCCh. 15.12 - Prob. 6.1LCCh. 15.12 - Prob. 6.2LCCh. 15 - Prob. 1FPCh. 15 - Prob. 2FPCh. 15 - Prob. 3FPCh. 15 - Prob. 4FPCh. 15 - Prob. 5FPCh. 15 - Prob. 6FPCh. 15 - Prob. 7FPCh. 15 - Prob. 8FPCh. 15 - Prob. 9FPCh. 15 - Prob. 10FPCh. 15 - Prob. 11CAPCh. 15 - Prob. 12CAPCh. 15 - Prob. 13CAPCh. 15 - Prob. 14CAPCh. 15 - Prob. 15CAPCh. 15 - Prob. 16CAPCh. 15 - Prob. 17CAPCh. 15 - Prob. 18CAPCh. 15 - Prob. 19CAPCh. 15 - Prob. 20CAPCh. 15 - Prob. 21CAPCh. 15 - Prob. 22CAPCh. 15 - Prob. 23CAPCh. 15 - Prob. 24CAPCh. 15 - Prob. 25CAPCh. 15 - Prob. 26CAPCh. 15 - Prob. 27CAPCh. 15 - Prob. 28CAPCh. 15 - Prob. 29CAPCh. 15 - Prob. 30CAPCh. 15 - Prob. 31CAPCh. 15 - Prob. 32PRCh. 15 - Prob. 33PRCh. 15 - Prob. 34PRCh. 15 - Prob. 35PRCh. 15 - Prob. 36PR
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- State each case whether you would expect a positive correlation, a negative, or no correlation. 1) The number of television commercials broadcast and sales of its product.arrow_forwardGive an example of two variables that you would expect to have a correlation close to or equal to 1. Give an example of two variables that you would expect to have a correlation close to or equal to -1.arrow_forwardWhich value of r indicates a stronger correlation: r=0.793 or r= - 0.892? Explain your reasoning. Choose the correct answer below. O A. r= -0.892 represents a stronger correlation because 0.793> - 0.892. O B. r= -0.892 represents a stronger correlation because -0.892 > 0.793. O C. r=0.793 represents a stronger correlation because 0.793 > - 0.892. O D. r=0.793 represents a stronger correlation because -0.892 > |0.793.arrow_forward
- React on the statement, “Correlation deals with association but not causality”arrow_forwardQ11arrow_forwardWhich value of r indicates a stronger correlation: r= 0.803 or r= -0.915? Explain your reasoning. Choose the correct answer below. A. r=−0.915 represents a stronger correlation because 0.803>−0.915. B. r=−0.915 represents a stronger correlation because I −0.915 I > I 0.803 I. C. r=0.803 represents a stronger correlation because I −0.915 l > I 0.803 I D. r=0.803 represents a stronger correlation because 0.803>-0.915arrow_forward
- Please answer the question in the photo thanks!arrow_forwardState each case whether you would expect a positive correlation, a negative, or no correlation. 1) Poverty and crime levels.arrow_forwardFind out five examples of positive correlation. Find out five examples of negative correlation. Find out five examples of zero correlationarrow_forward
- Scenario: A company conducts research and finds a perfect correlation between job satisfaction and absenteeism. The correlation coefficient indicated that as job satisfaction goes down, absenteeism goes up. Which number best represents that correlation? Select one: a. -1 b. +1 c. both -1 and +1 d. 0arrow_forwardGive an example of two variables that you would expect to have a correlation close to or equal to -1. Give an example of two variables that you would expect to have a correlation close to or equal to 0. Remember that survey question you wrote? Take the class responses to your survey as data related to the one variable of your question. Now, take the list of responses from the survey question that one of your classmates wrote. Write down both lists of data. (If one sample size happens to be different from the other, cut the larger sample size down to that of the smaller sample size.) Calculate the correlation between the two variables. Describe the linear relationship between these two variables. (data for number 3) How many cars have you had so far in your lifetime? 0,1,1,1,2,2,2,2,3,3,3,3,4,4,5,6,6,7,10. How many days per week do you exercise? 0,0,0,1,2,3,3,3,3,4,4,4,4,5,5,5,5,6,6,6arrow_forwardMatch the statement on the left with the most likely answer on the right. Each answer is used one time. Group of answer choices The number of hours worked and the amount of your paycheck. Choose: - This would probably have no correlation. - This would be a strong positive correlation - This would probably be a negative correlation. -This would probably be a positive correlation. -This would be a strong negative correlation. The number of people in your office and your job satisfaction.choose: - This would probably have no correlation. - This would be a strong positive correlation - This would probably be a negative correlation. -This would probably be a positive correlation. -This would be a strong negative correlation. The number of miles you drive and the cost of your car insurance: choose - This would probably have no correlation. - This would be a strong positive correlation - This would probably be a negative correlation. -This would probably be a positive…arrow_forward
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