Question

In: Statistics and Probability

Testing the effect of meal type on test performance.Hypothesize that students eating a high protein meal...

Testing the effect of meal type on test performance.Hypothesize that students eating a high protein meal will have higher test performance than students consuming a high carbohydrate meal. Forty students from the researcher’s Introduction to Psychology course were randomly selected from the 250 students in the course for participation in the study. Randomly assigned to either the high protein group or the high carbohydrate group. Each was then given a standardized test over intro psych material one hour after meal consumption (% correct is recorded). The data is below.

Protein              Carbohydrate

95

92

83

73

88

79

80

67

79

82

79

81

97

85

92

83

87

73

89

65

84

72

95

76

86

63

79

60

88

78

69

70

97

75

95

81

90

82

87

69

Mean =   86.95                       Mean = 75.3

S =      7.337538667                         S = 8.137631881

S2 =   53.83947368                          S2 =  66.22105263

A. What is your computed answer (t, F, or r) ? (What do I do here calculate a t-obs or t-crit? What does that mean/how do I do it? Vassarstats?)

B. What probability level did you choose and why?

C. If you have made an error, would it be a Type I or a Type II error? Explain your answer.

Solutions

Expert Solution

a)

this is independent sample t-test

also this is right-tailed test

b)

we choose alpha = 0.05

c)

type i error - when we reject the null hypothesis when null hypothesis is true

since we reject the null null hypothesis

we could have made type i error


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