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    Calculation of Mean & Standard Deviation in STATDISK

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    Using Statdisk
    1. Assume all dice have 6 sides,
    a. simulate the rolling of a single die 800 times (select data than dice generator). Use copy/paste to copy the results to the descriptive statistics and histogram modules, and enter results
    One Die Mean_____________
    Standard Deviation________
    Distribution shape_________
    b. Part (a) used a single die, but we will now use a pair of dice. Use statdisk to roll two dice 800 times. The 800 values are totals for each pair of dice, so transform the totals to means by dividing each total by 2. (Use Copy/paste to copy the results to the statdisk data window, then use stadisks sample transformations feature to divide each value by 2. To divide each value by 2, select the operation of / and use a constant of 2). Now use copy/paste to copy the
    800 means to the Statdisk data window, then use the Descriptive Statistics and histograms modules. Enter the results.
    Two Die Mean_____________
    Standard Deviation________
    Distribution shape_________
    c. Repeat part (b) using 10 dice. When finding the mean of the 10 dice, divide each value by 10.
    10 Die Mean_____________
    Standard Deviation________
    Distribution shape_________
    d. Repeat part (b) using s20 dice.
    20 Die Mean_____________
    Standard Deviation________
    Distribution shape_________
    e. Conclusions
    What happens to the mean as the sample size increases from 1 to 2 or 10 to 20?_________________________________________________
    What happens to the standard deviation as the sample size increases?
    ______________________________________________________
    What happens to the distribution shape as the sample size increases? __________________________________________________
    How do these results illustrate the central limit theorem?_________
    ___________________________________________

    2. Refer to the indicated statdisk data set. In each case, print a histogram, normal quantile plot, and identify outliers.
    a. Boston Rainfall: Use the amouns of rainfall in Boston on Fridays.
    Outliers_____________
    Normal Distribution_______________________________________

    b. Cans: Use the axial loads of aluminum cans that are 0.0111 in. thick.
    Outliers_____________
    Normal Distribution_______________________________________

    c. Homeruns: Use the distances of homeruns hit by Mark McGwire in 1998.
    Outliers_________________
    Normal Distribution_________________________________________

    d.. Tax data of Homes:
    Outliers____________________
    NormalDistribution_______________________________________

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    Calculation of Mean & Standard Deviation in STATDISK.

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