Question

for an anova, the within-treatments variance provides a measure of the variability inside each treatment condition....

for an anova, the within-treatments variance provides a measure of the variability inside each treatment condition.

true or false

Homework Answers

Answer #1

The statement is TRUE.

Explanation : The total variance in an ANOVA can be partitioned into two groups namely within-treatment variance and between treatment variance. The within-treatment variance measures the variability inside each treatment condition (also called error sum of squares) whereas the between treatment variance is a measure of the heterogeneity between the different treatments.

For any queries, feel free to comment and ask.

If the solution was helpful to you, don't forget to upvote it by clicking on the 'thumbs up' button.

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
The difference between factorial ANOVA and repeated measures ANOVA is that in latter, the within-groups variability...
The difference between factorial ANOVA and repeated measures ANOVA is that in latter, the within-groups variability is partitioned into subject variability and error variability . Question 15 options: a) True b) False
In a within-subjects analysis of variance, the F ratio compares _____________ to ____________. a. within-group variability;...
In a within-subjects analysis of variance, the F ratio compares _____________ to ____________. a. within-group variability; unexplained variability b. within-condition variability; subject variability c. explained variability; within-group variability d. between-condition variability; explained variability e. between-condition variability; total variability A main effect occurs when the..... a. simple main effects vary b. marginal means vary c. estimated frequencies vary d. observed frequencies are constant Please explain! thanks :)
In a 2-factor ANOVA, what happens to the variability associated between treatments? (multiple choice) It is...
In a 2-factor ANOVA, what happens to the variability associated between treatments? (multiple choice) It is separated into two components - Between Subjects and Error It is separated into three components - Main Effect A Main Effect B and Interactions AxB It is combined to create the total variance for the study or None of these explains what happens
After rejecting the null hypothesis of equal treatments, a researcher decided to compute a 95 percent...
After rejecting the null hypothesis of equal treatments, a researcher decided to compute a 95 percent confidence interval for the difference between the mean of treatment 1 and mean of treatment 2 based on the Tukey procedure. At α = .05, if the confidence interval includes the value of zero, then we can reject the hypothesis that the two population means are equal. True False The error sum of squares measures the between-treatment variability. True False The experimentwise α for...
This Question has 6 parts. Variability within groups in an ANOVA reflects any potential effect of...
This Question has 6 parts. Variability within groups in an ANOVA reflects any potential effect of a “treatment” among different groups. True False If the null hypothesis is true in a two variable chi-square test, the expected values will always be the same as the observed values. True False A two variable chi-square test is also known as a “goodness of fit” test. True False The Ŷ in a regression equation represents the “predicted” value of Y, when a chosen...
Write out the ANOVA shell (sources of variability & degrees of freedom) for each of the...
Write out the ANOVA shell (sources of variability & degrees of freedom) for each of the following experiments described below. Identify all factors in the ANOVA that should be treated as random in the analysis. A split-plot experiment has a 2X3 factorial whole-plot treatment structure where treatment factor A has 2 levels and treatment factor B has 3 levels. Each combination of A & B was randomly assigned to 5 different whole plots in a CRD for a total of...
An experiment has 4 treatments; 9 replicates were obtained for each of the treatments. Treatment A...
An experiment has 4 treatments; 9 replicates were obtained for each of the treatments. Treatment A Treatment B Treatment C Treatment D -0.28 -0.26 -0.91 -0.02 -0.41 0.25 -0.78 0.27 0.65 -0.02 -0.41 0.13 0.14 0.27 -0.74 -0.24 -0.06 -0.57 0.84 -0.78 0.15 0.85 -0.01 0.62 -0.46 0.59 0.07 1.1 0.59 -0.57 0.29 1.03 -0.01 0.02 -0.29 -0.56 A) Do the ANOVA computations on this data; what is the P-value? B) On the basis of this P-value, do you reject...
Explain how a one-way analysis of variance works. How do you use between-and within-group variability? **...
Explain how a one-way analysis of variance works. How do you use between-and within-group variability? ** Your answer should indicate that a one-way ANOVA compares the relative size of…..Between-groups variability comes from….while within-groups variability comes from….The F ratio ratio divides….When the I.V. has no effect, the F ratio is about….etc.
ANOVA calculations and rejection of the null hypothesis The following table summarizes the results of a...
ANOVA calculations and rejection of the null hypothesis The following table summarizes the results of a study on SAT prep courses, comparing SAT scores of students in a private preparation class, a high school preparation class, and no preparation class. Use the information from the table to answer the remaining questions. Treatment Number of Observations Sample Mean Sum of Squares (SS) Private prep class 60 650 132,750.00 High school prep class 60 645 147,500.00 No prep class 60 625 162,250.00...
3. Suppose you are a researcher studying treatments for depression. Imagine three treatment groups (anti-depressant, therapy,...
3. Suppose you are a researcher studying treatments for depression. Imagine three treatment groups (anti-depressant, therapy, and placebo) are being compared using Analysis of Variance. What effect would each of the following have on an F score (make it smaller, make it larger, or cause no change)? Explain why. (Note: If you have trouble, look at the slides and consider the formula F = variance between groups/variance within groups, and consider what would influence that ratio). a. A large within-group...