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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