Question

In: Statistics and Probability

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

Solutions

Expert Solution

Participant          Before              After                  difference

A                           8                      7                           1

B                           7                      5                           2

C                           6                      6                           0

D                           7                      6                           1

E                           9                       7                           2

MD = (1 + 2 + 0 + 1 + 2)/5 = 1.2

b) SS = (1 - 1.2)^2 + (2 - 1.2)^2 + (0 - 1.2)^2 + (1 - 1.2)^2 + (2 - 1.2)^2 = 2.8

Sample variance(sd2) = SS/(n - 1) = 2.8/4 = 0.7

         

         

c)

The test statistic is

df = 5 - 1 = 4

At alpha = 0.05, the critical values are +/- t0.025,4 = +/- 2.777

Since the test statistic value is greater than the upper critical value(3.21 > 2.777), so we should reject the null hypothesis.

At 0.05 significance level, there is sufficient evidence to conclude that there is a significant treatment effect .

-------------------------------------

DEAR STUDENT,

IF YOU HAVE ANY QUERY ASK ME IN THE COMMENT BOX,I AM HERE TO HELPS YOU.PLEASE GIVE ME POSITIVE RATINGS

*****************THANK YOU***************


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...
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....
(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 were collected from a repeated-measures study: Determine if there are any significant differences...
The following data were collected from a repeated-measures study: Determine if there are any significant differences among the four treatments. Use a .05 level of significance. Remember to; 1) State the null hypothesis, 2) Show all of your calculations, 3) Make a decision about your null hypothesis, 4) Make a conclusion including an APA format summary of your findings (include a measure of effect size if necessary), and 5) Indicate what you would do next given your findings. Participant Treatments...
5. Consider the following data from an independent measures study: Treatment 1          Treatment 2      n...
5. Consider the following data from an independent measures study: Treatment 1          Treatment 2      n = 4                        n = 4 mean = 4              mean = 11 SS = 96                   SS = 100 Is there a evidence for a treatment effect? (α = .05, two tails). 6. A sample of n = 16 difference scores from a repeated measures experiment has SS = 440. The average difference score is 3. For a two-tailed test, α = .05, is this a...
Perform a repeated-measures ANOVA using the following data. The data represent ten subjects’ measures repeated over...
Perform a repeated-measures ANOVA using the following data. The data represent ten subjects’ measures repeated over five different trials. Trial 1 Trial 2 Trial 3 Trial 4 Trial 5 1 2 4 5 6 1 1 3 5 6 1 2 5 7 4 2 1 4 6 7 3 3 5 8 8 2 2 4 7 8 1 3 4 6 7 0 2 5 7 8 3 3 6 8 9 2 2 4 7 8 Complete...
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:  
The data in the table below were collected from a repeated‑measures study of muscle growth related...
The data in the table below were collected from a repeated‑measures study of muscle growth related to exercise. There were 8 people in the study altogether! They each got the four exercise conditions. Fill in the table below Interval training Aerobic exercise Weight training No exercise SSwithin for the study SSwithin for each group 36 18 26 15 95 Source SS DF MS F Between groups Within groups 95 ----- ---- Between persons 16 ----- ---- Error ---- Total 112...
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:   
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT