Module 11: One-Way Analysis of Variance Flashcards
1
Q
What tests do we use when analyzing
One Sample Mean?
A
2
Q
What tests do we use when analyzing
Two Sample Mean?
A
3
Q
What tests do we use when analyzing
Two+ Sample Mean?
A
4
Q
One-way ANOVA example
A
5
Q
If the z test calculates the z-stastic and the t-test calculate the t-statistic, what does ANOVA calculate?
A
6
Q
What are the 3 Designed Assumptions for ANOVA?
A
- Dependent variable is measured at the interval/ratio level
- The independent variable is measured at the nominal or ordinal level, contains two or more categories, and those categories are independent from each other
- The samples were randomly drawn from their respective population
7
Q
What are the 3 Statistical Assumptions for ANOVA?
A
- The dependent variable is normally distributed across all levels of the independent variable
- The variances are homogeneous (homogeneity of variances)
- There are no extreme outliers
8
Q
What two main concepts is ANOVA based on?
A
- Between groups variance
- Within groups variance
9
Q
What is Between Group Variance?
A
10
Q
What is Within Group Variance?
A
11
Q
What table is helpful to use during ANOVA calculations?
A
12
Q
When do we run the post hoc test?
A
If we reject the null
13
Q
How are values of R^2 interpreted?
A
14
Q
What does each variable represent in the Post Hoc/ Tukey HSD Test?
A
q = q-critical
k = # of groups
dfe = df - WG
