* not completed

. What does the confidence interval tell you?

The likelihood of the population parameter being the true case of an effect correct incorrect

The range of values that may capture a true population parameter correct incorrect

A point estimate of what the true population parameter may be correct incorrect

The size an effect correct incorrect

* not completed

. A point estimate can be used for which of the following?

The population mean correct incorrect

The population standard deviation correct incorrect

The population effect size correct incorrect

All of the above correct incorrect

* not completed

. Which of the following is true regarding statistical significance and effect size?

If there is an effect size that is quantifiable, the results are significant correct incorrect

Small effects cannot be significant correct incorrect

Medium effects are generally always significant correct incorrect

Small effects can be statistically significant correct incorrect

* not completed

. Which of the following best compares Cohen's d to eta-squared?

They are both positive numbers that range from 0.00 to 1.00 correct incorrect

They are both effect sizes that explains the proportion of variability explained by an independent variable on the dependent variable. correct incorrect

Cohen's d is a measure of difference whereas eta-squared measures the proportion of variance in the dependent variable explained by the independent variable. correct incorrect

Cohen's d is a measure of difference whereas eta-squared measures the effect of each condition (i.e., level) of the factor and the extent to which each condition influenced the actual outcome of the dependent variable. correct incorrect

* not completed

.

Take a look at source table below. Use it to answer questions 5.

Source	SS	df	MS	F
SSBetween	1128.7	2	564.35
SSWithin	31982.9	23	1390.56

What is the eta-squared?

.04 correct incorrect

.40 correct incorrect

.09 correct incorrect

.81 correct incorrect