Basic Facts About Probability

 

• Theories are composed of constructs
• Models are composed of variables
• Laws have probabilities whose accuracy is beyond doubt
• Principles have some predictability but the probability of beliefs is a matter of personal opinion
• You can test the probability of data being explained as a straight line with Analysis Of Regression

 

NOW YOU CHOOSE:
    Day 7: Probability
    Bit More About Probability
    Even More About Probability
    Even More About ANOR
    Calculate ANOR
    Practice Problems
    More Practice Problems
    Word Problems
        Sim1       Sim2        Sim3
    Basic Facts About Probability
    Vocabulary
    Formulas
    Quiz 7
    Summary

Basic Facts About t-Tests

 

• The correlated t-test is a discrete model which compares 2 trials on 1 dependent variable.
• The independent t-test is a discrete model which compares 2 means of 1 independent variable.
• Two groups (segments of 1 independent variable) are randomly-assigned and the values of 1 dependent variable are measured.

 

NOW YOU CHOOSE:
    Day 8: Student’s t-Test
    Bit More About t-Test
    Even More About t-Test
    How to Calculate t-Test
    Practice Problems
    More Practice Problems
    Word Problems
        Sim1           Sim2            Sim3
        Sim4           Sim5            Sim6
        Sim7           Sim8            Sim9
    Basic Facts About t-Test
    Vocabulary
    Formulas
    Quiz 8
    Summary

Basic Facts of Advanced Procedures

There are nine applications of the General Linear Model to continuous and discrete variables. From the most complex to the simplest, the continuous models are causal modeling, multivariate analysis, multiple regression, regression, correlation and frequency distributions. From the most complex to the simplest, the discrete models are factorial ANOVA, 1-Way ANOVA and t-tests.

List and describe nine applications of the General Linear Model to continuous and discrete variables:

Basic Facts About 1-Way ANOVA

A 1-way ANOVA compares 3+ means on one independent variable.

A 1-way ANOVA has one independent variable and one dependent variable.

Basic Facts About Regression

Basic Facts About Correlation

There are 6 things associated with a linear regression:

• intercept
• slope
• interpolate
• extrapolate
• least square criterion
• standard error of estimate.

 

NOW YOU CHOOSE:

• Read A Bit More About Correlation
• Read Even More About Correlation
• Listen to Lecture 5 (coming soon)
• How to Calculate Correlation
• Practice Problems
• More Practice Problems
• Review Basic Facts About Correlation
• Review Day 3 Vocabulary
• Review Day 3 Formulas
• Take Quiz 5
• Summary

 

Basic Facts About z-Scores

Laws have accuracy beyond doubt.

Comparing self to self

Comparing self to a standard

Comparing self to a group

5 z-score applications

1. Describe the location of an individual score

2. Use as a cutoff score

3. Convert a distribution to a standardized distribution

4. Linearly transform a distribution

5. Compare distributions with different means and standard deviations.

 

NOW YOU CHOOSE:
    Day 4: z-Score
    A Bit More About z-Scores
    Even More About z-Scores
    How To Calculate z-Scores
    Practice Problems
    Basic Facts About z-Scores
    Vocabulary
    Formulas For z-Scores
    Quiz 4
    Summary

 

Basic Facts About Dispersion

5 Measures of Dispersion

Range

Mean Absolute Deviation (Mean Variance)

Sum of Squares

Variance

Standard Deviation

 

NOW YOU CHOOSE:
    Day 3: Dispersion
    A Bit More About Dispersion
    Even More About Dispersion
        Range
        MAD
        Sum of Squares
        Variance
        Standard Deviation
    How To Calculate
        Range
        MAD
        Sum of Squares
        Variance
        Standard Deviation
    Formulas For Dispersion
    Practice Problems
    More Practice Problems
    Basic Facts About Dispersion
    Vocabulary
    Quiz 3
    Summary

 

Basic Facts About Central Tendency

There are 3 measures of central tendency: mean, median and mode.

Note too hard, huh? I don’t want to overwhelm you. 🙂

NOW YOU CHOOSE:
   Day 2: Central Tendency
   A Bit More About Central Tendency
   Even More About Central Tendency
   More Examples
      More Mean Examples
      More Median Examples
      Median Is Middle Of Distribution
      More Mode Examples
   Impact of Outlying Scores
      On The Mean
      On The Median
      On The Mode
   How To Calculate Central Tendency
      Calculating The Mean
      Calculating The Median
      When There’s No Middle-Most Score
      Calculating The Mode
   Formulas For Central Tendency
   Basic Facts About Central Tendency
   Vocabulary
   Quiz 2
   Summary

Basic Facts About Measurement

 

• Theories are composed of: constructs.
• Models are composed of variables.
• Laws have accuracy beyond doubt.
• Principles have some predictability
• Beliefs are personal opinions.
• Four basic types of variables: independent, dependent, intervening, modifying. 
•  Four levels of measurement: nominal, ordinal, interval, and ratio.
• There are 6 criteria for evaluating theories: clear, useful, small number of assumptions, summarizes facts, internally consistent, and testable hypotheses.

 

NOW YOU CHOOSE:
    Day 1: Measurement
    A Bit More About Measurement
    Even More About Measurement 1
    Even More About Measurement 2
    Even More About Measurement 3
    Basic Facts About Measurement
    Vocabulary
    Quiz 1
    Summary