2024 Assignment: Student Text Resources

2024 Assignment: Student Text Resources

2024 Assignment: Student Text Resources.

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Assignment: Student Text Resources

Correlation coefficients

2.     Rank the following correlation coefficients on strength of their relationship (list the weakest first):

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 Hours of studying GPA 23 3.95 12 3.90 15 4.00 14 3.76 16 3.97 21 3.89 14 3.66 11 3.91 18 3.80 9 3.89

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4.     Look at the following table. What type of correlation coefficient would you use to examine the relationship between ethnicity (defined as different categories) and political affiliation? How about club membership (yes or no) and high school GPA? Explain why you selected the answers you did.

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5.     When two variables are correlated (such as strength and running speed), it also means that they are associated with one another. But if they are associated with one another, then why does one not cause the other?

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6.     Given the following information, use Table B.4 in Appendix B of Statistics for People Who (Think They) Hate Statistics to determine whether the correlations are significant and how you would interpret the results.

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a.     The correlation between speed and strength for 20 women is .567. Test these results at the .01 level using a one-tailed test.

b.    The correlation between the number correct on a math test and the time it takes to complete the test is –.45. Test whether this correlation is significant for 80 children at the .05 level of significance. Choose either a one- or a two-tailed test and justify your choice.

c.     The correlation between number of friends and grade point average (GPA) for 50 adolescents is .37. Is this significant at the .05 level for a two-tailed test?

15 data set 3

7.     Use the data in Ch. 15 Data Set 3 to answer the questions below. Do this one manually or use IBM® SPSS® software.

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a.     Compute the correlation between income and level of education.

b.    Test for the significance of the correlation.

c.     What argument can you make to support the conclusion that lower levels of education cause low income?

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8.     Use the following data set to answer the questions. Do this one manually.

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a.     Compute the correlation between age in months and number of words known.

b.    Test for the significance of the correlation at the .05 level of significance.

Correlation coefficients

c.     Recall what you learned in Ch. 5 of Salkind (2011)about correlation coefficients and interpret this correlation.

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 Age in months Number of words known 12 6 15 8 9 4 7 5 18 14 24 18 15 7 16 6 21 12 15 17

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9.     How does linear regression differ from analysis of variance?

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10.  Betsy is interested in predicting how many 75-year-olds will develop Alzheimer’s disease and is using level of education and general physical health graded on a scale from 1 to 10 as predictors. But she is interested in using other predictor variables as well. Answer the following questions.

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a.     What criteria should she use in the selection of other predictors? Why?

b.    Name two other predictors that you think might be related to the development of Alzheimer’s disease.

c.     With the four predictor variables (level of education, general physical health, and the two new ones that you name), draw out what the model of the regression equation would look like.

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 Team Average no. of wins over 10 years Bowl? (1 = yes and 0 = no) Savannah Sharks 12 1 Pittsburgh Pelicans 11 0 Williamstown Warriors 15 0 Bennington Bruisers 12 1 Atlanta Angels 13 1 Trenton Terrors 16 0 Virginia Vipers 15 1 Charleston Crooners 9 0 Harrisburg Heathens 8 0 Eaton Energizers 12 1

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a.     How would you assess the usefulness of the average number of wins as a predictor of whether a team ever won a Super Bowl?

b.    What’s the advantage of being able to use a categorical variable (such as 1 or 0) as a dependent variable?

c.     What other variables might you use to predict the dependent variable, and why would you choose them?

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Peter was interested in determining if children who hit a bobo doll more frequently would display more or less aggressive behavior on the playground. He was given permission to observe 10 boys in a nursery school classroom. Each boy was encouraged to hit a bobo doll for 5 minutes. The number of times each boy struck the bobo doll was recorded (bobo).

Next, Peter observed the boys on the playground for an hour and recorded the number of times each boy struck a classmate (peer).

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1.     Conduct a linear regression to predict the number of times a boy would strike a classmate from the number of times the boy hit a bobo doll. From the output, identify the following:

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a.     Slope associated with the predictor

b.    Additive constant for the regression equation

c.     Mean number of times they struck a classmate

d.    Correlation between the number of times they hit the bobo doll and the number of times they struck a classmate

e.     Standard error of estimate

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Cite any sources consistent with APA guidelines.

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Draw a scatterplot of each of the following:

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·        A strong positive correlation

·        A strong negative correlation

·        A weak positive correlation

·        A weak negative correlation

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Give a realistic example of each.

What is the coefficient of determination? What is the coefficient of alienation? Why is it important to know the amount of shared variance when interpreting both the significance and the meaningfulness of a correlation coefficient?
If a researcher wanted to predict how well a student might do in college, what variables do you think he or she might examine? What statistical procedure would he or she use?
What is the meaning of the p value of a correlation coefficient?

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University of Phoenix Material

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Time to Practice – Week Five

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Complete Parts A, B, and C below.

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Some questions in Part A require that you access data from Statistics for People Who (Think They) Hate Statistics. This data is available on the student website under the Student Text Resources link.

Correlation coefficients

2.     Rank the following correlation coefficients on strength of their relationship (list the weakest first):

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 +.71 +.36 –.45 .47 –.62