Question

In related measures ANOVA between persons variation A: Influences the size of the numerator B: Is...

In related measures ANOVA between persons variation

A: Influences the size of the numerator

B: Is variation between people across groups

C: Cannot be measured in the denominator

D: Is variation between people in the same group

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

First of all it is repeated measure ANOVA and not related measure ANOVA.

In repeated measure ANOVA, the between persons variation is like the same thing as between group variation in independent ANOVA.

In repeated measure ANOVA, between persons variation is defined as the variation between people in the different groups. So option B is correct option.

Option A is also correct as it lies in the numerator of the test statistic.

Option D is incorrect because this is not the correct definition of between persons variations

Option C is correct as this can be calculated based on the data.

Hope the solution helps. Thank you.

(Comment for further help)

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
In an independent-measures ANOVA, individual differences contribute to the variance in the numerator and the denominator...
In an independent-measures ANOVA, individual differences contribute to the variance in the numerator and the denominator of the F-ratio. For a repeated-measures ANOVA, what happens to the individual differences in the denominator of the F-ratio? a. they do not exist because the same individuals participate in all treatments b. they are measured and subtracted out in the second stage of the analysis c. individual differences contribute to the variance in the denominator d. none of the other options contribute
Q07. An ANOVA examining three different blanching processes to determine which is best in terms of...
Q07. An ANOVA examining three different blanching processes to determine which is best in terms of vitamin A retention (mg/100mg) yields an F statistic with an associated P-value of < .001. Therefore, at α = .05 we I. fail to reject the null hypothesis. II. reject the null hypothesis. III. conclude that mean vitamin A retention amounts are not all equal across the different blanching processes a) II only b) I only c) both II and III d III only...
The following is an incomplete ANOVA table. Source of Variation SS df MS F Between groups...
The following is an incomplete ANOVA table. Source of Variation SS df MS F Between groups 2 11.8 Within groups Total 100 10 The p-value of the test is a) less than 0.14 b) between 0.01 and 0.038 c) between 0.025 and 0.18 d) greater tha
1. Can you use an ANOVA with two groups? a. True b. False 2. What is...
1. Can you use an ANOVA with two groups? a. True b. False 2. What is the minimum number of groups that should be used with an ANOVA? a. 3 b. 2 c. 1 d. 5 3. What are the three types of ANOVA discussed in class? Select all that apply. a. Repeated Measures ANOVA b. One Factor/Way ANOVA c. Two Factor (Univariate) ANOVA d. Pretense ANOVA 4. What does an ANOVA tell you? a. An ANOVA tells you if...
Question 15 Using a between-subjects ANOVA design, ______. a. n participants are observed k times b....
Question 15 Using a between-subjects ANOVA design, ______. a. n participants are observed k times b. the same participants are observed in each group c. n · k participants are each observed one time d. data are not analyzed between groups
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...
Part I Measures of effect size are useful because: A. They can be used with almost...
Part I Measures of effect size are useful because: A. They can be used with almost any statistical test B. Hypothesis testing only tells us if there is a statistically significant result C. They tell us how large a significant effect might be D. All of the above Part II Broadly speaking, what does a oneway ANOVA tell us? A. It gives us a range of values where the true population mean difference might be found B. It tells us...
Describe the similarities between an F-ratio and a t statistic. a. The basic relationship between t...
Describe the similarities between an F-ratio and a t statistic. a. The basic relationship between t statistic and F-ratios can be stated in an equation. What is that equation? b. These two methods are very similar in calculation (t and F). If you have data from an independent-measures experiment, with only two treatment conditions, you can use either a t test or an independent-measures ANOVA and expect the same results. Provide evidence of why this formula (answer from part a)...
#1. Which type of ANOVA would you use for each of the studies below? One-way between...
#1. Which type of ANOVA would you use for each of the studies below? One-way between subjects (independent groups) One-way within subjects (repeated measures) Two-way between subjects Measure the self-esteem of the same group of college students at the beginning, middle and end of their freshman year. Compare math skills for three different professional groups: physicians, attorneys and psychologists. Measure Body Mass Index (BMI) for persons who take Supplement X vs. a placebo and who either exercise regularly or don’t....
You are given the following ANOVA Single-factor output.                                 &n
You are given the following ANOVA Single-factor output.                                                                                                                Groups Count Sum Average Variance 1 3.00 166.00 55.33 156.33 2 3.00 213.00 71.00 444.00 3 3.00 197.00 65.67 114.33 4 3.00 219.00 73.00 508.00 5 3.00 235.00 78.33 786.33 6 3.00 160.00 53.33 92.33 7 3.00 256.00 85.33 10.33 8 3.00 206.00 68.67 574.33 9 3.00 210.00 70.00 333.00 10 3.00 290.00 96.67 2.33 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 4527.20 9.00 503.02 1.66...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT