Question

In: Statistics and Probability

The following table shows the results of a repeated-measures analysis of variance comparing two treatment conditions...

The following table shows the results of a repeated-measures analysis of variance comparing two treatment conditions with a sample of n = 12 participants. Note that several values are missing in the table. What is the missing value for SStotal?

Source

SS

df

MS

Between

xx

xx

12

F = 4.00
Within

xx

xx

Bet. Sub.

35

xx

Error

xx

xx

xx

Total

xx

xx

45
47
80
148

Solutions

Expert Solution

Let us start with the degrees of freedom,

Total number of subjects(Nsubjects)=12

Number of treatments(K)=2

Total number of data(N) =12*2=24

Using the above data,we will calculate the degrees of freedom

dfbetween=K-1=2-1=1

dfwithin=N-K=24-2=22

dfsubjects=Nsubjects-1=12-1=11

dferror=dfwithin-dfsubjects=22-11=11

dftotal=N-1=24-1=23

Given: SSbetw.subjects=35

MSbetween=12

We have MSbetween=12 and dfbetween=1

we know that MSbetween=SSbetween/dfbetweeen

12=SSbetween/1 which gives SSbetween=12*1=12

Therefore,SSbetween=12

Now,let us do a reverse calculation.that is,we will use the options of answer to calculate the other values.

First let us assume SStotal=148

SStotal is nothing but sum of SSbetween and SSwithin

We have SSbetween=12 and assuming SStotal=148,we will get

148=12+SSwithin

SSwithin=148-12 =136

SSerror=SSwithin-SSbetw.subjects=136-35=101

SSerror=101

As we know that SSerror and SSbetw.subjects are subset of SSwithin.when we sum those two values ,we will get  SSwithin

SSwithin=101+35=136

Hence,SStotal=148

The completed ANOVA table is given below:

Source

SS

df

MS

F-statistic
Between

12

1

12

F = 4.00
Within

136

22

Bet. Sub.

35

11

Error

101

11

9.18

Total

148

23


Related Solutions

The following data were obtained from a repeated-measures study comparing 3 treatment conditions. Use a repeated-measures...
The following data were obtained from a repeated-measures study comparing 3 treatment conditions. Use a repeated-measures ANOVA with a=.05 to determine whether there are significant mean differences among the three treatments (do all 4 steps of conducting a hypothesis test!!): Person Treatment 1 Treatment 2 Treatment 3 Person Totals A 0 2 4 P=6 N=15 B 0 3 6 P=9 G=60 C 3 7 8 P=18 D 0 7 5 P=12 E 2 6 7 P=15 M=1 M=5 M=6 T=5...
The following data represent the results of an independent-measures study comparing two treatment conditions. Treatment One...
The following data represent the results of an independent-measures study comparing two treatment conditions. Treatment One Treatment Two 3.3 2.6 5 4.4 3.6 3.3 5.4 6 6.2 2.8 5.4 5.1 4.3 2.6 4.6 2.5 Run the single-factor ANOVA for this data: F-ratio:    p-value:   Now, run the t test on the same data: t-statistic:    p-value:   
The following data represent the results of an independent-measures experiment comparing three treatment conditions. Use analysis...
The following data represent the results of an independent-measures experiment comparing three treatment conditions. Use analysis of variance with  = .05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments.  (Hint: start by filling in the missing values on the table below). Please show all formulas with symbols (and plugin numbers), steps, processes, and calculations for all steps and all parts of all answers. Treatment 1 Treatment 2 Treatment 3 4 7 6 6...
1) The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment...
1) The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment One Treatment Two 3 3.1 4.5 4.5 4.8 4.5 4.5 3.9 6.5 3.9 4.3 3.8 3.7 3.4 Run the single-factor ANOVA for this data: F-ratio:    p-value:    Now, run the t test on the same data: t-statistic:    p-value:    2) Google Sheets can be used to find the critical value for an F distribution for a given significance level. For example, to find the critical value...
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment One...
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment One Treatment Two 2.5 1.7 3.9 4.5 4.3 3.2 4.6 2.9 2.9 3.2 5.1 3.8 4.2 2.3 Using technology, run the One-way ANOVA Test for this data: F-ratio:   p-value:   Now, run the Two Independent Sample t test on the same data: Note: Do this with "pooled variances" since one assumption we make with ANOVA is that the variances for each group are equal. t-statistic:   p-value:  
(Chapter 14) The following data were obtained from a repeated-measures study comparing three treatment conditions. a....
(Chapter 14) The following data were obtained from a repeated-measures study comparing three treatment conditions. a. Use a repeated measures ANOVA with α=.05 to determine whether there are significant mean differences among the three treatments. (Hint: start by filling in the missing values on the table below). Be sure to show all formulas with symbols (and plug in numbers), steps, processes and calculations for all steps and all parts of all answers. b. Compute n2, the percentage of variance accounted...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Conduct an...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Conduct an analysis of variance with α=0.05α=0.05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments. Treatment A Treatment B Treatment C 5 4 13 5 5 7 5 9 10 6 6 11 4 6 9 F-ratio = p-value = Conclusion: These data do not provide evidence of a difference between the treatments There is a significant...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Conduct an...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Conduct an analysis of variance with α=0.05α=0.05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments. Treatment A Treatment B Treatment C 22 24 26 20 21 24 21 23 27 22 22 28 20 20 25 F-ratio = _______________ p-value = ______________ Conclusion: ___These data do not provide evidence of a difference between the treatments ___There is...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use StatCrunch...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use StatCrunch to conduct an analysis of variance with α=0.05α=0.05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments. Treatment A Treatment B Treatment C 8 10 12 8 7 13 8 11 11 7 8 15 9 9 14 F-ratio = p-value = Conclusion: Which of these two is correct? A. There is a significant difference between...
The following scores are from an independent-measures study comparing two treatment conditions. (Be sure to include...
The following scores are from an independent-measures study comparing two treatment conditions. (Be sure to include your critical values) a. Use an independent -measures t-test with a = 0.05 to determine whether there is a significant mean difference between the two treatments. b. Use an ANOVA with a = 0.05 to determine whether there is a significant mean difference between the two treatments. You should find that F = t2. Treatment I Treatment II 10 7 n=16 8 4 g=120...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT