Loading [MathJax]/jax/output/HTML-CSS/jax.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?