One-Way Analysis of Variance: This is the same as One-Factor ANOVA; the analysis includes only one factor (the thing that you believe is responsible for the variability) (e.g., dormitory).
Factor: dormitory Levels: Moore, Steinbright & Butz
Hypotheses: as shown aboveTwo-Way Analysis of Variance: This is the same as Two-Factor ANOVA; the analysis includes two factors (e.g., dormitory and gender).
Factor: dormitory Levels: Moore, Steinbright & Butz
Factor: gender Levels: female & male
Hypotheses: 3 sets (1 for dormitory; 1 for gender; 1 for the interaction
between dormitory and gender)Three-Way Analysis of Variance: This is the same as Three-Factor ANOVA; the analysis includes three factors (e.g., dormitory, gender, and class).
Factor: dormitory Levels: Moore, Steinbright & Butz
Factor: gender Levels: female & male
Factor: class Levels: freshman, sophomore, junior, senior
Hypotheses: 7 sets (don't worry about these, and those for four factor
ANOVA and beyond)
Completely Randomized One-Way ANOVA: One factor is used and for each level, observations are collected via independent random selection. This is the simplest type of ANOVA, one of the more commonly used analyses, and the one that we will be using in this class. In other words, you decide on your levels (or categories or groups) and then you randomly select observations to be included in your samples (your typical approach to collecting data).
Useful Terminology
Level: The term, level, pertains to each type within the chosen factor. Other terms used in place of level are category and group.
For example, if the factor is dormitory, then we have three levels: Moore, Steinbright, and Butz. If on the other hand, amount of drug administered is the factor, then the levels might be: 0 mg, 10 mg, and 20 mg.
Reference
http://www2.cedarcrest.edu/academic/bio/hale/biostat/session23links/anovabasics.html
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