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INFERENTIAL STATISTICS FOR DECISION MAKING

Chapter-10

Effect Size, Confidence Intervals, and NHST: Two-Sample Designs

Use the following data set to answer the following questions. To earn full credit show all of your calculations and other work. Explain your answers. Don’t just write a number.

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The 26 students who signed up for General Psychology reported their GPA. Each person was matched with another person on the basis of the GPAs, and two groups were formed. One group was taught with the traditional lecture method by Professor Nouveau. The other class could access the Web for the same lectures whenever they wished. At the end of the term, both classes took the same comprehensive final exam, and they also filled out a “

Satisfaction

Questionnaire.”

Scores

on both measures are shown below.

Analyze the data with t tests and effect size indexes. Write a conclusion.

You have to use the JASP Software (

Download JASP

) to perform your analysis. Make sure you include the analysis output in your submission. Also, explain your results in detail.

Traditional Section

Online Section

31

65

72

18

35

31

65

22

27

82

27

75

28

64

20

23

Comprehensive Final Exam Scores

Satisfaction
Scores

Traditional Section

Online Section

50

56

25

31

72

75

18

19

64

62

40

38

82

90

35

89

91

17

24

65

22

20

74

14

85

87

36

80

76

27

79

77

23

78

28

70

Give examples and elaborate on the applications of the topic.

Chapter-10: Effect Size, Confidence Intervals, and NHST: Two-Sample Designs

1. Describe the following terms: treatments, experimental group, and control group. Give examples and applications.

2. How do you create a paired-sample experiment? Discuss in detail and give examples.

3. What does “Power” mean in an experiment?

1. What factors impact the power of an experiment?

1. The Smiths and McDonalds blame each other for Michael and Jane falling in love. On a test of propensity to fall in love, the mean of 6 members of the Smith family was 54 and the mean of 10 members of the McDonald family was 64. When a statistician compared the families’ scores with a t test, to determine if one family was more at fault, a t value of 2.13 was obtained. As a statistician if you adopt an α level of .05 (two-tailed test), what should be your conclusion?

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