The following table summarizes the results of a study on SAT prep courses, comparing SAT scores...

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The following table summarizes the results of a study on SAT prep courses, comparing SAT scores of students in a private preparation class, a high school preparation class, and no preparation class. Use the information from the table to answer the remaining questions. Treatment Private prep class High school prep class No prep class Source Between treatments Within treatments Number of Observations Sample Mean 60 60 60 Sum of Squares (SS) Using the data provided, complete the partial ANOVA summary table that follows. (Hint: T, the treatment total, can be calculated as the sample mean times the number of observations. G, the grand total, can be calculated from the values of T once you have calculated them.) The MStotal is used in the calculation of the F test statistic. The S5ntal is used in the calculation of the F test statistic. 680 650 635 In ANOVA, the F test statistic is the variance. The value of the F test statistic is Sum of Squares (SS) df 265,500.00 276,120.00 302,670.00 ANOVA summary tables typically have a "Total" row not included in the partial table you just completed. Which the following is a possible reason for including this row? When the null hypothesis is true, the F test statistic is statistic is most likely Mean Square (MS) The total sums of squares is the sometimes called the "error term." The S5otal is sometimes easier to calculate than SS between. Since SS within + SSbetween SSmtal, you can use SStotal to calculate SSbetween. of the between-treatments variance and the within-treatments When the null hypothesis is false, the F test In general, you should reject the null hypothesis for The following table summarizes the results of a study on SAT prep courses, comparing SAT scores of students in a private preparation class, a high school preparation class, and no preparation class. Use the information from the table to answer the remaining questions. Treatment Private prep class High school prep class No prep class Source Between treatments Within treatments Number of Observations Sample Mean 60 60 60 Sum of Squares (SS) Using the data provided, complete the partial ANOVA summary table that follows. (Hint: T, the treatment total, can be calculated as the sample mean times the number of observations. G, the grand total, can be calculated from the values of T once you have calculated them.) The MStotal is used in the calculation of the F test statistic. The S5ntal is used in the calculation of the F test statistic. 680 650 635 In ANOVA, the F test statistic is the variance. The value of the F test statistic is Sum of Squares (SS) df 265,500.00 276,120.00 302,670.00 ANOVA summary tables typically have a "Total" row not included in the partial table you just completed. Which the following is a possible reason for including this row? When the null hypothesis is true, the F test statistic is statistic is most likely Mean Square (MS) The total sums of squares is the sometimes called the "error term." The S5otal is sometimes easier to calculate than SS between. Since SS within + SSbetween SSmtal, you can use SStotal to calculate SSbetween. of the between-treatments variance and the within-treatments When the null hypothesis is false, the F test In general, you should reject the null hypothesis for

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Answer 1 ANOVA summary tables Source Sum of Squares SS df Mean Square MS Between treatments 26550000 ... View the full answer