Loading [MathJax]/jax/output/SVG/config.js
Skip to main content
Library homepage
 

Text Color

Text Size

 

Margin Size

 

Font Type

Enable Dyslexic Font
Statistics LibreTexts

Search

  • Filter Results
  • Location
  • Classification
    • Article type
    • Author
    • Cover Page
    • License
    • Show TOC
    • Embed Jupyter
    • Transcluded
    • OER program or Publisher
    • Autonumber Section Headings
    • License Version
  • Include attachments
Searching in
About 2 results
  • https://stats.libretexts.org/Courses/Sacramento_City_Colllege/PSYC_330%3A_Statistics_for_the_Behavioral_Sciences_with_Dr._DeSouza/12%3A_Analysis_of_Variance
    Analysis of variance, often abbreviated to ANOVA for short, serves the same purpose as the \(t\)-tests we learned in unit 2: it tests for differences in group means. ANOVA is more flexible in that it ...Analysis of variance, often abbreviated to ANOVA for short, serves the same purpose as the \(t\)-tests we learned in unit 2: it tests for differences in group means. ANOVA is more flexible in that it can handle any number of groups, unlike \(t\)-tests which are limited to two groups (independent samples) or two time points (dependent samples). Thus, the purpose and interpretation of ANOVA will be the same as it was for \(t\)-tests, as will the hypothesis testing procedure. However, ANOVA will, a
  • https://stats.libretexts.org/Courses/Rio_Hondo_College/PSY_190%3A_Statistics_for_the_Behavioral_Sciences/12%3A_Analysis_of_Variance
    Analysis of variance, often abbreviated to ANOVA for short, serves the same purpose as the \(t\)-tests we learned in unit 2: it tests for differences in group means. ANOVA is more flexible in that it ...Analysis of variance, often abbreviated to ANOVA for short, serves the same purpose as the \(t\)-tests we learned in unit 2: it tests for differences in group means. ANOVA is more flexible in that it can handle any number of groups, unlike \(t\)-tests which are limited to two groups (independent samples) or two time points (dependent samples). Thus, the purpose and interpretation of ANOVA will be the same as it was for \(t\)-tests, as will the hypothesis testing procedure. However, ANOVA will, a

Support Center

How can we help?