dr. michael r. hyman, nmsu analysis of variance (anova) (click icon for audio)
Post on 21-Dec-2015
219 views
TRANSCRIPT
5
Analysis of Variance Sum of Squares Between
= individual scores, i.e., the ith observation or test unit in the jth group = grand meannj = number of all observations or test units in a group
jX
X
7
Analysis of Variance Sum of Squares Within
pi = individual scores, i.e., the ith observation or test unit in the jth grouppi = grand meann = number of all observations or test units in a groupc = number of jth groups (or columns)
ijX
X
9
Analysis of Variance Sum of Squares
pi = individual scores, i.e., the ith observation or test unit in the jth grouppi = grand meann = number of all observations or test units in a groupc = number of jth groups (or columns)
ijX
X
14
ANOVA Summary Table Source of Variation
• Between groups
• Sum of squares
– SS between
• Degrees of freedom
– c-1 where c=number of groups
• Mean squared-MS between
– SS between / c-1
15
ANOVA Summary Table Source of Variation
• Within groups
• Sum of squares – SS within
• Degrees of freedom– cn-c where c=number of groups, and
n = number of observations in a group
• Mean squared – MS within– SS within / cn-c
16WITHIN
BETWEEN
MSMS
F
ANOVA Summary Table Source of Variation
• Total
• Sum of Squares – SStotal
• Degrees of Freedom– cn-1 where c = number of groups, and
n = number of observations in a group
21
Sales in Units (thousands)
Regular Price$.99
1301188784
X1=104.75X=119.58
Reduced Price$.89
145143120131
X2=134.75
Cents-Off CouponRegular Price
1531299699
X1=119.25
Test Market A, B, or CTest Market D, E, or FTest Market G, H, or ITest Market J, K, or L
MeanGrand Mean
Test Market Pricing Experiment
Example #3