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.

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 (

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

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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