Remember/Understand
Define: Dispersion
Degree that values in a data set differ from one another
Which test should I run?
2 predictor variables, both categorical and between subjects with 3+ groups
1 outcome variable, continuous and between subjects
Factorial (or 2 way) ANOVA
What kind of test was run?
F=2.45
ANOVA
Define: Levels
The groups of a categorical variable
Which test should I run?
1 outcome variable
Chi Square for goodness of fit
What kind of test was run?
X^2=4.36
Chi Square
What is this:
A variable in an ANOVA
Factor
Which test should I run?
1 categorical predictor that is between subjects and 3+ groups
1 continuous outcome variable that is between subjects
one-way ANOVA
What type of test was run?
There was significant differences between the type of car someone drove and their speed on the interstate F(3, 125)=12.36, p<0.05.
One-way ANOVA
Predictor: Type of car (can be 3+ groups/categorical/between subjects)
Outcome: Speed on the interstate (continuous/between subjects)
What is this:
Averaged responses for each possible combination of variables
Marginal Means
Which test should I run?
1 predictor variable that is categorical and between subjects
1 outcome variable that is categorical and between subjects
Chi Square for independence
What kind of test was run?
There is no significant difference in the color of shirt worn and the life/death of the character X^2(10, N=110)=8.30, p<.001.
Chi Square for Independence:
Predictor: shirt color (categorical/between subjects)
Outcome: life/death (categorical/between subjects)
What test is this:
A statistical measure of whether the observed results from a single categorical variable match a particular
distribution.
Chi Square for goodness of fit
I would like to know if cumulative GPA, science GPA, or MCAT score influence Medical School graduation rates. What would be the best test for me to run to test this question?
One way ANOVA:
Predictor:
1 factor: Grade type (categorical/between subjects)
3 levels: cumulative GPA, science GPA, MCAT score
Outcome: Graduation rates (continuous/between subjects)
What kind of test was run?
There was a significant difference between type of physical activity, mood, and levels of pain, F(3, 132)=2.80, p=0.04.
Factorial ANOVA:
2 Factors: Type of Physical Activity (can be broken down into 3+ groups) and Mood (can be broken down into 3+ groups)
-both factors are categorical predictors measured by levels of pain (the continuous outcome variable)