Question

A one-factor fixed-effects ANOVA is performed on data from three groups of equal size (n=10), and...

A one-factor fixed-effects ANOVA is performed on data from three groups of equal size (n=10), and the null hypothesis is rejected at the .01 level. The following values were computed: MSwithin=40 and the sample means are ȳ1=4.5, ȳ2=12.5, ȳ3=13.0. Use the Tukey HSD method to test all possible pairwise contrasts.

Homework Answers

Answer #1

Tukey HSD is calculated using the below formula

where   is a critical value of the studentized range for , the number of treatments or samples r, and the within-groups degrees of freedom . We get this value from studentized range table.

is the within groups mean square from the ANOVA table and n is the sample size for each treatment.

Given,

n = 10, r = 3

= 40 , = number of observations - number of groups = 10 * 3 - 3 = 27

= 0.01

From studentized range table, = 4.495

So,

So, if the absolute mean difference between groups is greater than 8.99, the mean difference is significant at 0.01 significance level.

ȳ2 -  ȳ1 = 12.5 - 4.5 = 8

ȳ3 -  ȳ2 = 13.0 - 12.5 = 0.5

ȳ3 -  ȳ1 = 13.0 - 4.5 = 8.5

Since none of the groups have absolute mean difference greater than 8.99, there are no significant differences in any of the groups.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
1. A one-factor ANOVA for independent samples conducted on 4 experimental groups, with n = 8...
1. A one-factor ANOVA for independent samples conducted on 4 experimental groups, with n = 8 participants in each group, produces the following partial outcomes: SSbetween = 36, SSwithin = 84. For this analysis, what is the computed F statistic? A. F = 3 B. F = 12 C. F = 8 D. F = 6 E. F = 21 F. F = 4 2. A researcher reports an outcome of one factor ANOVA for independent samples as F(2, 36)...
Conduct a two-factor fixed-effects ANOVA to determine if there are any effects due to A (task...
Conduct a two-factor fixed-effects ANOVA to determine if there are any effects due to A (task type), B (task difficulty), or the AB interaction (alpha = .01). Conduct Tukey HSD post-hoc comparison. The following are the scores from the individual cells of the model: A₁B₁: 41, 39, 25, 25, 37, 51, 39, 101 A₁ B₂: 46, 54, 97, 93, 51, 36, 29, 69 A₁ B₃: 113, 135, 109, 96, 47, 49, 68, 38 A₂ B₁: 86, 38, 45, 45, 60,...
1. In one-way ANOVA, involving three groups, the alternative hypothesis would be considered correct if, in...
1. In one-way ANOVA, involving three groups, the alternative hypothesis would be considered correct if, in the population, a. all means were equal b. two means are equal but the third is different c. all three means have different values d. either (b) or (c) above is true QUESTION 2 When Null is true for a one-way ANOVA, variation of the group means is a reflection of a. inherent variation b. differential treatment effects c. nondifferential treatment effects d. a...
An experiment has a single factor with five groups and three values in each group. In...
An experiment has a single factor with five groups and three values in each group. In determining the​ among-group variation, there are 4 degrees of freedom. In determining the​ within-group variation, there are 20 degrees of freedom. In determining the total​ variation, there are 24 degrees of freedom.​ Also, note that SSA= 96, SSW=160, SST=256, MSA=24, MSW=8, and FSTAT=3. Complete parts​ (a) through​ (d).Click here to view page 1 of the F table. a. Construct the ANOVA summary table and...
Consider the partial ANOVA table shown below. Let a = .01 Source of Variation DF SS...
Consider the partial ANOVA table shown below. Let a = .01 Source of Variation DF SS MS F Between Treatments 3 180 Within Treatments (Error) Total 19 380 If all the samples have five observations each: there are 10 possible pairs of sample means. the only appropriate comparison test is the Tukey-Kramer. all of the absolute differences will likely exceed their corresponding critical values. there is no need for a comparison test – the null hypothesis is not rejected. 2...
The conclusion of a​ one-way ANOVA procedure for the data shown in the table is to...
The conclusion of a​ one-way ANOVA procedure for the data shown in the table is to reject the null hypothesis that the means are all equal. Determine which means are different using alpha α equals=.05 Sample 1 Sample 2 Sample 3 88 1515 2020 1515 1414 2424 77 1717 2222 99 1313 1919 LOADING... Click the icon to view the ANOVA summary table. LOADING... Click the icon to view a studentized range table for alphaαequals=0.050.05. Let x overbarx1​, x overbarx2​,...
Method Null hypothesis H₀: All means are equal Alternative hypothesis H₁: At least one mean is...
Method Null hypothesis H₀: All means are equal Alternative hypothesis H₁: At least one mean is different Equal variances were assumed for the analysis. Factor Information Factor Levels Values StressLevel 3 High, Low, Medium Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value StressLevel 2 261.361 130.681 18.76 <0.0001 Error 69 480.583 6.965 Total 71 741.944 Model Summary S R-sq R-sq(adj) R-sq(pred) 2.63912 35.23% 33.35% 29.47% Means StressLevel N Mean StDev 95% CI High 24 5.2083 2.6536 (4.1336,...
A consumer preference study compares the effects of three different bottle designs (A, B, and C)...
A consumer preference study compares the effects of three different bottle designs (A, B, and C) on sales of a popular fabric softener. A completely randomized design is employed. Specifically, 15 supermarkets of equal sales potential are selected, and 5 of these supermarkets are randomly assigned to each bottle design. The number of bottles sold in 24 hours at each supermarket is recorded. The data obtained are displayed in the following table. Bottle Design Study Data A B C 19...
Use the following information to answer questions 11-13 An ANOVA test is conducted to compare three...
Use the following information to answer questions 11-13 An ANOVA test is conducted to compare three different income tax software packages to determine whether there is any difference in the average time it takes to prepare income tax returns using the three different software packages. Ten different individuals' income tax returns are done by each of the three software packages and the time is recorded for each. Because individual tax returns are different the analysis has decided to block on...
An ANOVA test is conducted to compare three different income tax software packages to determine whether...
An ANOVA test is conducted to compare three different income tax software packages to determine whether there is any difference in the average time it takes to prepare income tax returns using the three different software packages. Ten different individuals' income tax returns are done by each of the three software packages and the time is recorded for each. Because individual tax returns are different the analysis has decided to block on individual returns. The computer results are shown below....
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT