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    Descriptive Statistics, Correlation, T-Test, ANOVA

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    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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