A simple main effect analysis looks at the mean difference at each level of the independent variable.
Given With a simple main effect, the analysis examines.
Simple effects are also called the main effects of design of experiments. The main effect can be defined as the effect of the explanatory variables measured on a particular criterion or response variable of the study. It's easy to say that what happens within the level of the explanatory variables is the difference. In a factorial experiment, the simple main effect is that one independent variable is at a specified level of another. The main effect of one independent variable is averaged across the levels of the other independent variable. For a simple main effect, the results are analyzed as if a separate experiment was performed at each level of the other independent variables.
Therefore, a simple main effect analysis looks at the mean difference at each level of the independent variable.
Learn more about analysis from here brainly.com/question/15179003
#SPJ4
Answer:
8
Step-by-step explanation:
It is a 2 out of three chance of getting a composite number because that means that it is not odd. There are 10 odd numbers between 1 and 30 (2,3,5,7,11,13,17,19,23,29) and that means that there is a 20 out of 30, or 2 out of 3 chance taht the number will be composite.
Answer:
0.667
Step-by-step explanation:
subtract 1 x from both sides
3x+3=5
then subtract 3 from both sides
3x=2
then divide both sides by 3 to get x alone
Answer: O.66666 repeating and round
