F Distribution
The F distribution is behind perhaps only the t distribution as the most popular statistic in tests of statistical significance when using continuous response variables. The F statistic is directly related to the chi-square statistic and the explicit output of all analysis of variance (ANOVA) tests. It is the foundation of modern experimental design and is the most powerful test for comparing two variances when the assumptions of normality are met. The following sections covers the history and derivation and properties of the F distribution, a short review of the noncentral F distribution and an ANOVA example, the resulting F statistic, and relevance to the distribution of F values.
When the objective of an analysis is to compare two variances, the ratio ...
Looks like you do not have access to this content.
Reader's Guide
Assessment
Cognitive and Affective Variables
Data Visualization Methods
Disabilities and Disorders
Distributions
Educational Policies
Evaluation Concepts
Evaluation Designs
Human Development
Instrument Development
Organizations and Government Agencies
Professional Issues
Publishing
Qualitative Research
Research Concepts
Research Designs
Research Methods
Research Tools
Social and Ethical Issues
Social Network Analysis
Statistics
Teaching and Learning
Theories and Conceptual Frameworks
Threats to Research Validity
- All
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- X
- Y
- Z
Research Methods
