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	T=25	T=30
	SS=8	SS=22	SS=10

Solutions

Expert Solution

null hypothesis:Ho: all three treatments have equal means

alternate hypothesis:Ha: there are significant mean differences among the three treatments

applying two way ANOVA:

for (2,8) degree of freedom and 0.05 level critical value F=4.459

as test statsitic 28.0 is greater than crtiical value we reject null hypothesis

we have sufficient evidence at 0.05 level to conclude that there are significant mean differences among the three treatments

milcah answered 3 months ago

Next > < Previous

Related Solutions

The following data were obtained from an independent-measures research study comparing three treatment conditions. I II...

The following data were obtained from an independent-measures research study comparing three treatment conditions. I II III n = 6 n = 4 n = 4 M = 2 M = 2.5 M = 5 N = 14 T = 12 T = 10 T = 20 G = 42 SS = 14 SS = 9 SS = 10 ΣX2tot = 182 Use an ANOVA with α = .05 to determine whether there are any significant mean differences among the...

DATA SET 2 The following data were obtained from a research study comparing two treatment conditions....

DATA SET 2 The following data were obtained from a research study comparing two treatment conditions. Analyze this data to determine whether you will reject or fail to reject the null hypothesis based upon your results. Two-tailed test. Alpha = .05 (Please show work) Treatment 1 Treatment 2 10 7 8 4 7 9 9 3 13 7 7 6 6 10 12 2

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:

1) The following data were collected from a repeated-measures study investigating the effects of 4 treatment...

1) The following data were collected from a repeated-measures study investigating the effects of 4 treatment conditions on test performance. Determine if there are any significant differences among the four treatments. State the null hypothesis. If you determine a significant treatment effect, use Tukey’s HSD test (overall α = .05) to determine which treatments differ from which other treatments. Also, compute the percentage of variance explained by the treatment effect (η2). Conclude with an appropriate summary describing what you found....

The following data are from a repeated-measures study examining the effect of a treatment by measuring...

The following data are from a repeated-measures study examining the effect of a treatment by measuring a group of n=5 participants before and after they receive the treatment. A.) calculate the difference scores and MD B.) compute SS, sample variance, and estimated standard error. C.) is there a significant treatment effect? Use Alpha=0.05 Participant Before Treatment After Treatment A 8 7 B 7 5 C 6 6 D 7 6 E 9 7

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 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

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...

Subjects