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 335 results
  • https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/03%3A_Descriptive_Statistics/3.04%3A_Interpreting_All_Three_Measures_of_Central_Tendency
    If you know all three measures of central tendency, what do you really know?
  • https://stats.libretexts.org/Courses/Taft_College/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Sciences_(Oja)/01%3A_Description/01%3A_Introduction_to_Behavioral_Statistics/1.04%3A_Types_of_Data_and_How_to_Measure_Them/1.4.01%3A_IV_and_DV-_Variables_as_Predictors_and_Outcomes
    Learn about independent variables and dependent variables in research designs.
  • https://stats.libretexts.org/Courses/Taft_College/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Sciences_(Oja)/01%3A_Description/02%3A_What_Do_Data_Look_Like_(Graphs)/2.03%3A_APA_Style_Tables
    How should you format tables?
  • https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/01%3A_Introduction_to_Behavioral_Statistics/1.04%3A_Types_of_Data_and_How_to_Measure_Them/1.4.01%3A_IV_and_DV-_Variables_as_Predictors_and_Outcomes
    Learn about independent variables and dependent variables in research designs.
  • https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/13%3A_Factorial_ANOVA_(Two-Way)/13.01%3A_Introduction_to_Factorial_Designs
    What are factorial designs?  What's a two-way ANOVA?
  • https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/02%3A_What_Do_Data_Look_Like_(Graphs)/2.09%3A_Graphing_Quantitative_Data-_Histograms
    What the heck is a histogram?  Hint, it's not a bar chart.
  • https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/07%3A_Inferential_Statistics_and_Hypothesis_Testing
    So far we've been using statistics to mostly describe a sample.  But we can do so much more with what we've learned about probability and the Standard Normal Curve.  I'll show you!
  • https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/16%3A_Chi-Square/16.01%3A_Introduction_to_Chi-Square
    What if you only have qualitative variables?
  • https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/13%3A_Factorial_ANOVA_(Two-Way)/13.03%3A_Two-Way_ANOVA_Summary_Table/13.3.01%3A_Calculating_Sum_of_Squares_for_the_Factorial_ANOVA_Summary_Table
    For example, consider the overall mean for all of the scores in the no reward group, we found that to be 6.6 Now, was the mean for each no-reward group in the whole design a 6.6? Then we subtract the ...For example, consider the overall mean for all of the scores in the no reward group, we found that to be 6.6 Now, was the mean for each no-reward group in the whole design a 6.6? Then we subtract the mean for the distraction group, and the mean for the reward group, and then we add the grand mean.
  • https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/03%3A_Descriptive_Statistics/3.10%3A_Measures_of_Central_Tendency_and_Variability_Exercises
    A little practice?
  • https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/15%3A_Regression/15.02%3A_Regression_Line_Equation/15.2.01%3A_Using_Linear_Equations
    From algebra recall that the slope is a number that describes the steepness of a line, and the y-intercept is the y coordinate of the point (0,a) where the line crosses the y-axis. In...From algebra recall that the slope is a number that describes the steepness of a line, and the y-intercept is the y coordinate of the point (0,a) where the line crosses the y-axis. In the equation y=a+bx, the constant b that multiplies the x variable (b is called a coefficient) is called the slope.

Support Center

How can we help?