# PSY-380 Project 3 – SPSS Analyses

PSY-380 Introduction to Probability and Statistics

Project 3 – SPSS Analyses

Before beginning this assignment, be sure to watch the MindTap SPSS Demonstration Library

videos corresponding to each question in order to successfully complete the assignment. The

videos and links are listed in the LMS assignment description and below each question.

In SPSS run the correct statistical test for each study.

1. 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).

MindTap Question 1 Practice Resources: Course Support > SPSS Demonstration

Library > Descriptive Statistics and Frequencies; Course Support > SPSS

Demonstration Library > Correlation; Chapter 14 > Learn It > SPSS Problem Set:

Correlation and Linear Regression: Using SPSS > 1. Obtaining correlation coefficients

(Pearson); SPSS Problem Set: Correlation and Linear Regression: Interpreting SPSS >

1. Interpreting statistical software output in correlation.

Hours of

Participant Exercise

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

Life

Satisfaction

3

14

14

14

3

5

10

11

8

7

6

11

6

11

8

1

2

4

4

10

5

3

4

8

4

9

5

4

10

4

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16

17

18

19

20

15

8

8

10

5

7

4

5

4

4

a. Run descriptive statistics on the data. Report the mean, variance and standard

deviation for the data of hours of exercise per week by the participants. Copy

and paste the SPSS output into the word document.

b. Run a bivariate correlation to determine if there is a linear relationship

between the hours of exercise per week and life satisfaction. In 3-4 sentences

interpret the results in words, then write the statistical results in APA

style. Report the Pearson’s Correlation and probability statistic.

2. Insomnia has become an epidemic in the United States. Much research has been done in

the development of new pharmaceuticals to aide those who suffer from insomnia.

Alternatives to pharmaceuticals are being sought by sufferers. A new relaxation

technique has been tested to see if it is effective in treating the disorder. Sixty insomnia

sufferers between the ages of 18 to 40 with no underlying health conditions volunteered

to participate in a clinical trial. They were randomly assigned to either receive relaxation

treatment or a proven pharmaceutical treatment. Thirty were assigned to each group. The

amount of time it took each of them to fall asleep was measured and recorded. The data is

shown below.

a. Run a two-independent samples t-test to determine if the relaxation treatment is

more effective than the pharmaceutical treatment at a level of significance of 0.05.

Copy and paste the SPSS output into the word document.

b. In 3-4 sentences interpret the results in words, then write the statistical

results in APA style. Report the t statistic and probability statistic. MindTap

Question 2 Practice Resources: Course Support > SPSS Demonstration Library

> Independent Samples t-Test; Chapter 15 > Learn It > SPSS Problem Set:

Parametric Hypothesis Testing Comparing Two or More Means: Using SPSS > 2.

Conducting an independent samples t test; Chapter 15 > Learn It > SPSS

Problem Set: Parametric Hypothesis Testing Comparing Two or More Means:

Interpreting SPSS > 2. Interpreting statistical software output for an independentmeasures t test.

Relaxation Pharmaceutical

© 2023. Grand Canyon University. All Rights Reserved.

98

117

51

28

65

107

88

90

105

73

44

53

20

50

92

112

71

96

86

92

75

41

102

24

96

108

102

35

46

74

20

35

130

83

157

138

49

142

157

39

46

194

94

95

161

154

75

57

34

118

41

145

148

117

177

119

186

22

61

75

3. A researcher is interested to learn if the level of interaction a woman in her 20s has with

her mother influences her life satisfaction ratings. Below is a list of women who fit into

each of four levels of interaction. Conduct a One-way Between Subjects ANOVA on the

data to determine if there are differences between groups; does the level of interaction

influence women’s ratings of life satisfaction?

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a. Report the results of the One-way Between Subjects ANOVA. If significance is

found, run the appropriate post-hoc test and report between what levels the

significant differences were found. Copy and paste the SPSS output into the

word document.

b. In 3-4 sentences interpret the results in words, then write the statistical

results in APA style. Report the F statistic and probability statistic.

MindTap Question 3 Practice Resources: Course Support > SPSS Demonstration

Library > One-Way Between-Subject ANOVA; Chapter 15 > Learn It > SPSS Problem

Set: Parametric Hypothesis Testing Comparing Two or More Means: Using SPSS > 4.

Conducting a single-factor, independent-measures ANOVA; Chapter 15 > Learn It >

SPSS Problem Set: Parametric Hypothesis Testing Comparing Two or More Means:

Interpreting SPSS > 4. Interpreting statistical software output for a single-factor,

independent-measures ANOVA

No

Low

Moderate

Interaction Interaction

Interaction

2

3

4

3

4

5

4

1

7

2

8

2

1

7

1

8

8

6

4

5

High

Interaction

3

10

2

1

2

3

10

8

4

3

9

10

8

5

8

4

9

4

1

8

4. A researcher is interested in studying the effect that the amount of fat in the diet and

amount of exercise has on the mental acuity of middle-aged women. The researcher used

three different treatment levels for the diet and two levels for the exercise. The results of

the acuity test for the subjects in the different treatment levels are shown below.

MindTap Question 4 Practice Resources: Course Support > SPSS Demonstration

Library > Between-Subjects Factorial ANOVA; Chapter 15 > Learn It > SPSS Problem

Set: Parametric Hypothesis Testing Comparing Two or More Means: Using SPSS > 5.

Conducting a two-factor ANOVA; Chapter 15 > Learn It > SPSS Problem Set:

Parametric Hypothesis Testing Comparing Two or More Means: Interpreting SPSS > 5.

Interpreting statistical software output for a two-factor ANOVA.

© 2023. Grand Canyon University. All Rights Reserved.

Exercise

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