assignment 3 - 22. Describe the variables. What type of...

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22. Describe the variables. What type of scale are they measured on? Variables are the two exam scores and are measure on a point scale ranging to 200 points possible for exam 1 and 400 points possible for the final exam. 23. How do you run a correlation in SPSS? 1. Graphs à Legacy Dialogs à Scatter/Dot 2. Click “Simple Scatter” à “Define” 3. Choose variables for x and y axes and click “ok” 24. Run the correlation in SPSS. Paste in the output. Descriptive Statistics Mean Std. Deviation N Exam 1 164.54 22.250 28 Final Exam 331.21 56.820 28 Correlations Exam 1 Final Exam Exam 1 Pearson Correlation 1 .934 ** Sig. (2- tailed) .000 N 28 28 Final Exam Pearson Correlation .934 ** 1 Sig. (2- tailed) .000 N 28 28 **. Correlation is significant at the 0.01 level (2- tailed). 25. Label the p-value on the output. What is alpha? Is the p-value greater or less than alpha? Did you reject or fail to reject the null hypothesis? P-value = .05 .05>.001 We reject the null 26. Write a summary of your results using APA style. We ran a correlation on the different scores in a class for exam 1 ( M =164.54, SD =22.250) and students’ final exam scores ( M =331.24, SD =56.82) in a sample of college students in an intro statistics class ( n =28) and found a significant positive, linear correlation between exam 1 and the final exam, r (26) = .934, p = .
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001. Thus, the higher scores on exam 1 correspond with the students who also got a high score on the final exam. 27. What are the three possible directions of causality? Give an example of two variables that are associated and explain their relationship in terms of the three possible directions
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assignment 3 - 22. Describe the variables. What type of...

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