Which of the following describes the effect of an increase in the variance of the difference scores in a repeated-measures design?
a. Measures of effect size and the likelihood of rejecting the null hypothesis both decrease.
b. Measures of effect size increase, but the likelihood of rejecting the null hypothesis decreases.
c. There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis increases.
d. There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis decreases.
Question 2
Which of the following describes the effect of increasing sample size in a repeated-measures design?
a. Measures of effect size and the likelihood of rejecting the null hypothesis both increase.
b. Measure of effect size increase, but the likelihood of rejecting the null hypothesis decreases.
c. There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis increases.
d. There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis decreases.
A hypothetical example of the bottleneck effect.
Effect of substrate concentration on the initial velocity of an enzyme-catalyzed reaction
Effect of increasing temperature or lowering deltGo+ on the rates of reactions
Increase in rainfall on continents
Chilling Effect of a Cold Current
Lake Effect Snow