# Project #62164 - Assignment 2: Correlation Coefficient

•  Name Age Height (inches) Gender Years of college Political affiliation Hours of work per week Satisfaction with job Satisfaction with income Satisfaction with economy Jessica 25 67 F 4 R 40 5 5 7 Sam 26 71 M 4 D 40 5 5 6 Mary 32 65 F 4 D 40 6 5 6 Dawn 40 68 F 0 I 40 7 8 8 Tom 28 71 M 4 R 40 8 9 9 Terry 30 72 M 2 I 40 9 9 9 John 35 68 M 4 D 40 10 10 9 Patty 36 64 F 0 I 40 8 8 9 Chris 40 66 M 0 R 40 8 10 9
• Determine whether the variable hours worked per week by an individual are correlated to the variable the individual's satisfaction with his or her job. Be sure to use the proper df and show all the steps of the calculations. Also include an explanation of how the critical value was determined, using Table B.6 in the textbook. Be sure to interpret the results in light of the hypothesis that the number of hours worked is related to the satisfaction an individual feels about his or her job.
• Add two extreme outliers of your choice to each of the variables (i.e., for the number of hours worked and satisfaction with one's job, add two values that are much higher than the highest value you obtained). Recalculate the correlation coefficient and determine whether the variable hours worked per week is still correlated with the variable satisfaction with the job. Be sure to use the proper df and show all the steps of the calculations, including determination of the critical value. Interpret the new results in light of the hypothesis. Also, interpret the effect of outliers on correlation coefficients.
• Imagine you have the same data (mean, standard deviation, etc.) that you originally collected in Week 2, except you have a much larger sample size of one thousand. Explain what happens to the magnitude of the correlation, and why that would be important if there are outliers in the data

 Subject Mathematics Due By (Pacific Time) 03/14/2015 12:00 am
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