Type of Measurement Differences between three or more independent groups Interval or ratio One-way ANOVA.

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Presentation transcript:

Type of Measurement Differences between three or more independent groups Interval or ratio One-way ANOVA

Analysis of Variance Hypothesis when comparing three groups  1    

Analysis of Variance F-Ratio

Analysis of Variance Sum of Squares

Analysis of Variance Sum of SquaresTotal

Analysis of Variance Sum of Squares p i = individual scores, i.e., the i th observation or test unit in the j th group p i = grand mean n = number of all observations or test units in a group c = number of j th groups (or columns)

Analysis of Variance Sum of SquaresWithin

p i = individual scores, i.e., the i th observation or test unit in the j th group p i = grand mean n = number of all observations or test units in a group c = number of j th groups (or columns)

Analysis of Variance Sum of Squares Between

Analysis of Variance Sum of squares Between = individual scores, i.e., the i th observation or test unit in the j th group = grand mean n j = number of all observations or test units in a group

Analysis of Variance Mean Squares Between

Analysis of Variance Mean Square Within

Analysis of Variance F-Ratio

Sales in Units (thousands) Regular Price $ X 1 = X= Reduced Price $ X 2 = Cents-Off Coupon Regular Price X 1 = Test Market A, B, or C Test Market D, E, or F Test Market G, H, or I Test Market J, K, or L Mean Grand Mean A Test Market Experiment on Pricing

ANOVA Summary Table Source of Variation Between groups Sum of squares –SSbetween Degrees of freedom –c-1 where c=number of groups Mean squared-MSbetween –SSbetween/c-1

ANOVA Summary Table Source of Variation Within groups Sum of squares –SSwithin Degrees of freedom –cn-c where c=number of groups, n= number of observations in a group Mean squared-MSwithin –SSwithin/cn-c

ANOVA Summary Table Source of Variation Total Sum of Squares –SStotal Degrees of Freedom –cn-1 where c=number of groups, n= number of observations in a group