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2Way ANOVA

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Permits better assessment of treatment because error variation is ... SSAB SST = Variation Due to Treatment B. SSFB David Barron. 2-way ANOVA. 17. Source of ... – PowerPoint PPT presentation

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Title: 2Way ANOVA


1
2-Way ANOVA
  • David Barron
  • Jesus College

2
Randomized Block F Test
  • 1. Experimental units are assigned randomly to
    treatments
  • 2. Uses blocking variable in addition to
    treatment variable
  • Permits better assessment of treatment because
    error variation is reduced
  • 3. Hypotheses r No. rows, c No. columns
  • Treatment
  • Blocking

3
Randomized Block F Test Assumptions
  • 1. Normality
  • Populations are normally distributed
  • 2. Homogeneity of Variance
  • Populations have equal variances
  • 3. Independence of Errors
  • Independent random samples are drawn
  • 4. No Interaction Between Blocks Treatments

4
Total Variation Partitioning
Total Variation
SST
Variation Due to Treatment
  • SSA

Variation Due to Random Sampling
Variation Due to Blocking
  • SSE

SSBL
5
Definitions
6
Total variation
7
Among-group variation
8
SSBL and SSE
9
Mean-squares
F-test statistic for differences in c Means
10
Summary Table
Source of
Degrees
Sum of
Mean
F
Variation
of
Squares
Square
Freedom
(Variance)
Among
c - 1
SSA
MSA
MSA
Treatments
MSE
Among
r - 1
SSBL
MSBL
MSBL
Blocks
MSE
SSW
Error
(r-1)(c-1)
SSE
MSE
Same as Completely Randomized Design
Total
rc - 1
SST
11
Restaurant ratings
12
ANOVA Table
SS df MS F P-value Rows 283.375 5 5
6.675 3.781835 0.020456 Columns 1787.458 3 595.8
194 39.75811 2.23E-07 Error 224.7917 15 14.9861
1 Total 2295.625 23
13
Scatter plot of restaurant ratings
14
Two-Way ANOVA
  • 1. Tests the equality of 2 or more population
    means for several independent variables
  • 2. Same results as separate One-Way ANOVA on each
    variable -- when interaction not present
  • 3. Hypotheses - Differences among
  • (1) Treatment means, (2) Blocking means
  • and (3) Interaction effect between (1) (2)

15
Two-Way ANOVA Assumptions
  • 1. Normality
  • Populations are normally distributed
  • 2. Homogeneity of Variance
  • Populations have equal variances
  • 3. Independence of Errors
  • Independent random samples are drawn

16
Total Variation Partitioning
Total Variation
SST
Variation Due to Treatment A
Variation Due to Treatment B
  • SSFA

SSFB
Variation Due to Random Sampling
Variation Due to Interaction
  • SSE

SSAB
17
Two-Way ANOVA Summary Table
Source of
Degrees of
Sum of
Mean
F
Variation
Freedom
Squares
Square
A
r - 1
SSFA
MSFA
MSFA
(Row)
MSE
B
c - 1
SSFB
MSFB
MSFB
(Column)
MSE
AB
(r-1)(c-1)
SSAB
MSAB
MSAB
(Interaction)
MSE
Error
rc(n-1)
SSE
MSE
Same as Other Designs
Total
rcn - 1
SST
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