eated Measures ANOVA is this correct?

MATLAB: An Introduction with Applications
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Repeated Measures ANOVA

is this correct?

Chapter 13 (Repeated Measures ANOVA)
Q1. Jim develops a smoking cessation intervention and wants to determine whether it is
effective. He collects data on the number of cigarettes smoked daily from eight smokers Wo
before, during, and after the intervention. Fill in all missing values in the table. (Hint:
start with the df column.) With a=.05, determine whether there are any significant
differences among the conditions. If necessary, use the Tukey HSD posttest to determine
which groups are significantly different.
null Ho: l, = llz =13
alt Ha : l,tlizor UitlU3 0r latus
->
72
73
Before the
intervention
During the
intervention
After the
Cigarettes smoked
intervention
3.
af
MS
Source
SS
df
Between treatments (BT)
Within treatments (WT)
Between Subjects (BS)
Error (E)
Total
MSBT
10
100
5.
21
2.
F =
こ2
MSE
65
2.5
23
35
af BT K-1
K=3 3-1-2
Tot al> N-I
N= n x hume Vof scores 24-123
EX 3=24
df for BT 2
df for error-> 14
WT>N-K
24-3 = 21
Fev (2,14)
d
%3D
BS N-1 = 8-1=7
Crit value - 3.74
X muyt bl euss thon the f-value
40 have signilicance.
E→ (n-)(-) -(は)(2)=14
SS
WT WT-BS =E
Cv - 30 74>2 F
35= x - 65
hot a 8iguihrantchange
165
+65
X= (00 (WT)
post hac not nedded
Transcribed Image Text:Chapter 13 (Repeated Measures ANOVA) Q1. Jim develops a smoking cessation intervention and wants to determine whether it is effective. He collects data on the number of cigarettes smoked daily from eight smokers Wo before, during, and after the intervention. Fill in all missing values in the table. (Hint: start with the df column.) With a=.05, determine whether there are any significant differences among the conditions. If necessary, use the Tukey HSD posttest to determine which groups are significantly different. null Ho: l, = llz =13 alt Ha : l,tlizor UitlU3 0r latus -> 72 73 Before the intervention During the intervention After the Cigarettes smoked intervention 3. af MS Source SS df Between treatments (BT) Within treatments (WT) Between Subjects (BS) Error (E) Total MSBT 10 100 5. 21 2. F = こ2 MSE 65 2.5 23 35 af BT K-1 K=3 3-1-2 Tot al> N-I N= n x hume Vof scores 24-123 EX 3=24 df for BT 2 df for error-> 14 WT>N-K 24-3 = 21 Fev (2,14) d %3D BS N-1 = 8-1=7 Crit value - 3.74 X muyt bl euss thon the f-value 40 have signilicance. E→ (n-)(-) -(は)(2)=14 SS WT WT-BS =E Cv - 30 74>2 F 35= x - 65 hot a 8iguihrantchange 165 +65 X= (00 (WT) post hac not nedded
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