Final project stat - ..Please leave some great feedback. That would be appreciated. PDF

Title Final project stat - ..Please leave some great feedback. That would be appreciated.
Course Psychology
Institution Harvard University
Pages 12
File Size 529 KB
File Type PDF
Total Downloads 41
Total Views 134

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..Please leave some great feedback. That would be appreciated. ...


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PSY-380 Introduction to Probability and Statistics Project 3

Answer each question completely. Copy and Paste the SPSS output into the word document for the calculations portion of the problems, highlighting correct answers. (Please remember to answer the questions you must interpret the SPSS output). •

A researcher is interested to learn if there is a linear relationship between the hours in a week spent exercising and a person’s life satisfaction. The researchers collected the following data from a random sample, which included the number of hours spent exercising in a week and a ranking of life satisfaction from 1 to 10 ( 1 being the lowest and 10 the highest). Participan Hours of t Exercise 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

Life Satisfaction 3 14 14 14 3 5 10 11 8 7 6 11 6 11 8 15 8 8 10 5

1 2 4 4 10 5 3 4 8 4 9 5 4 10 4 7 4 5 4 4

Find the mean hours of exercise per week by the participants.

Statistics Hours N

Valid

20

Missing

0 8.8500

Mean Std. Deviation

3.66024

Variance

13.397 Mean = 8.8500



Find the variance and standard deviation of the hours of exercise per week by the participants.

Statistics Hours N

Valid Missing

20 0 8.8500 3.66024 13.397

Mean Std. Deviation Variance

Std Deviation= 3.66024 Variance= 13.397 •

Run a bivariate correlation to determine if there is a linear relationship between the hours of exercise per week and the life satisfaction. Report the results of the test statistic using correct APA formatting.

Correlations Hours Hours

Satisfaction -.103

1

Pearson Correlation

.664

Sig. (2-tailed) N Satisfaction

20 -.103

Pearson Correlation

20 1

.664

Sig. (2-tailed) N

20

20

R= -.103 P= .664 -.103 and...


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