Question

Eta-squared reflects the A.) probability of a significant difference between sample means. B.) proportion of variability...

Eta-squared reflects the

A.) probability of a significant difference between sample means.

B.) proportion of variability in the DV attributable to the IV.

C.) estimated standard error of prediction based on the IV.

D.) proportion of variability in the IV that is not due to subject differences.

(Behavioral Statistics)

Homework Answers

Answer #1

solution::-

Eta-squared reflects the " PROPORTION OF VARIABILITY IN THE DV ATTRIBUTABLE TO THE IV "

OPTION " B " is correct answer.

Eta-squared measures the proportion of variance in dependent variable in which it is associated with the membership of different groups defined by a independent variable.

since Eta-squared is a measure of the effect size in ANOVA table.

In which the proportion of variability can be caluclated by dividing the SS(TREATMENT) by SS (TOTAL).

So option "B" is correct answer

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. if a statistically significant difference was found between two means using an independent-samples t test,...
1. if a statistically significant difference was found between two means using an independent-samples t test, which of the following interpretations would be correct. A) something over and above sampling error is responsible for the difference between sample means B) the difference between two means is meaningful. C)it is unlikely that something other than error is responsible for the difference between the sample means. D) the difference between the two means is due to a large effect size 2. in...
1. The F ratio may be used to assess difference between (among): a. two sample means...
1. The F ratio may be used to assess difference between (among): a. two sample means b. three sample means c. four sample means d. All of these 3. With a two-group experimental design, the independent variable has been manipulated at: a. one level b. two levels c. three levels d. all of these 4. For the F ratio, if alpha is set at .05, it remains at .05 of comparisons are made between (among) a. 2 group means b....
1. When conducting a t test for differences between means, increasing sample size impacts the a....
1. When conducting a t test for differences between means, increasing sample size impacts the a. standard deviation of the sampling distribution b. degrees of freedom c. t score d. all of the above 2. In terms of finding importance vs. statistics a. researchers can analyze importance as well as significance b. there is no difference between importance and significance c. the distinction is entirely dependent upon data d. researchers cannot formally assess importance 3. When finding significance involving two...
Independent simple random samples are taken to test the difference between the means of two populations...
Independent simple random samples are taken to test the difference between the means of two populations whose variances are not known. Given the sample sizes are n1 = 11 and n2 = 16; and the sample variances are S12 = 33 and S22 = 64, what is the correct distribution to use for performing the test? A. t distribution with 49 degrees of freedom B. t distribution with 59 degrees of freedom C. t distribution with 24 degrees of freedom...
P_1 Which of the following is a fundamental difference between the t statistic and a z-score?...
P_1 Which of the following is a fundamental difference between the t statistic and a z-score? A. The t statistic uses the sample mean in place of the population mean. B. The t statistic computes the standard error by dividing the standard deviation by n - 1 instead of dividing by n. C. The t statistic computes the standard error using a sample variance in place of the population variance. D. All of these are differences between t and z...
Q3) In a difference of proportion test with alpha= .01, the critical value for a one...
Q3) In a difference of proportion test with alpha= .01, the critical value for a one tailed lower test is/are: A) -1.96 B) -1.645 and 1.645 C) -2.33 D) -1.28 Q4) If the test statistic for a small sample difference of means test is t*=-2.15, we could reject the Null Hypothesis at alpha =.01 for a two tailed test with degrees of freedom equal to 20: true or false Q9) In a difference of MEans test there are two sources...
1. Which of the following is a major difference between a hypothesis test with a t...
1. Which of the following is a major difference between a hypothesis test with a t statistic and the test with a z-score? a. You must know the population standard deviation for the z-score but not for the t statistic. b. You use the normal distribution table to find critical values for t but not for z. c. You must know the population median for the z-score but not for the t statistic. d. There are no major differences between...
A statement about a population parameter that is subject to verification is a/an: Probability Density Function...
A statement about a population parameter that is subject to verification is a/an: Probability Density Function    Normal Distribution Hypothesis Critical Value   Average Mean    The p-value in Hypothesis Testing is: The z-score at which you would reject the null hypothesis. the mean plus and minus the standard error. The probability of the sample results if the null hypothesis is true. The difference between the mean and the z-score. The z-critical value based on the confidence level desied. When testing...
The goal of this experiment was to determine whether there is a difference between the happiness...
The goal of this experiment was to determine whether there is a difference between the happiness obtained from “material” versus “experiential” purchases (following the study of Van Boven & Gilovich, 2003). For our purposes, we’ll treat the “material” group as the control group, and ask whether the “experiential” group differed in their happiness rating. Again, the population mean was µ = 6.16 happiness, with standard deviation σ = 1.71. We collected a sample of n = 34 students in the...
Q1.Researchers were interested in determining the relative effectiveness of two different brands of eye drops in...
Q1.Researchers were interested in determining the relative effectiveness of two different brands of eye drops in alleviating the symptoms of 'dry eye syndrome'. Forty subjects, who suffered from 'dry eye syndrome', were randomly assigned to receive either brand A or brand B of the eye-drops - 20 subjects to each brand. The eyedrops were administered to each subject and the time until symptoms returned was recorded for each subject. Based on the information provided, which of the following statement/s is...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT