The following data represent the results from an independent-measures study comparing three treatment conditions. Treatment   I II III 5 2 7 N = 24 1 6 3 G = 72 2 2 2 ∑X² = 292 3 3 4   0 5 5   1 3 2   2 0 4   2 3 5   M = 2 M = 3 M = 4   T = 16 T = 24 T = 32   SS = 16 SS = 24 SS = 20

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9. Gravetter/Wallnau/Forzano, Essentials - Chapter 12 - End-of-chapter question 12

The following data represent the results from an independent-measures study comparing three treatment conditions.
Treatment
 
I
II
III
5 2 7 N = 24
1 6 3 G = 72
2 2 2 ∑X² = 292
3 3 4  
0 5 5  
1 3 2  
2 0 4  
2 3 5  
M = 2 M = 3 M = 4  
T = 16 T = 24 T = 32  
SS = 16 SS = 24 SS = 20  
 
Use an ANOVA with α = .05 to determine whether there is a significant mean difference between the two treatments. (Round to two decimal places where needed.)
Source
SS
df
MS
F
Fcriticalcritical
Between treatments
 
 
 
 
 
Within treatments
 
 
 
   
Total
 
 
     
 
 

F Distribution

Numerator Degrees of Freedom = 6

Denominator Degrees of Freedom = 16

   
   
0.01.02.03.04.05.06.07.08.09.010.011.012.0F
 
Conclusion:
Reject the null hypothesis; there are no significant differences among the three treatments.
 
Fail to reject the null hypothesis; there are significant differences among the three treatments.
 
Reject the null hypothesis; there are significant differences among the three treatments.
 
Fail to reject the null hypothesis; there are no significant differences among the three treatments.
Expert Solution
Step 1
anova table            
  SS df MS F p-value F-critical
Between: 16.00 2 8.00 2.80 0.0836 3.47
Within: 60.00 21 2.86      
Total: 76.00 23        
          α = 0.05

 

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