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Descriptive Statistics, Correlation, T-Test, ANOVA

This exercise requires you to use an electronic spreadsheet, such as Microsoft's Excel, to compute information about a data set. The data set is shown in Table 1 below. There are three groups in the complete data set:

Group 1 Learning via the Lecture method of instruction
Group 2 Learning via the Cooperative method of instruction
Group 3 Learning via Computer-based instruction

The scores in each group are the final examination scores of students in the three groups. The scores represent overall knowledge learned under each method of instruction. The higher the score, the more knowledge learned. The Independent and Dependent variables are:

Independent variable - the method of instruction at three levels: Lecture, Cooperative, and Computer.
Dependent variable - the final examination score.

A B C
1 Group 1 Group 2 Group 3
2 78 45 77
3 88 54 75
4 96 65 34
5 77 47 88
6 83 77 97
7 85 61 69
8 90 53 45
9 85 69 90
10 95 70 85
11 68 45 66

a. Compute the descriptive statistics for Group 1.
As a check on your work for Group 1 you should obtain the following:

Mean 84.5
Standard Error 2.704933764
Meadian 85
Mode 85
Standard deviation 8.553751614
Sample Variance 73.16666667
Kurtosis 0.13658086
Skewness -0.51130504
Range 28
Sum 845
Count 10
Largest 96
Smallest 68
Confidence level (95.0%) 6.118989952

b. Calculate the correlation coefficient between Groups 1 and 2.

c. Perform a t-Test between Groups 1 and 2.

d. Perform analysis of variance (ANOVA)

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