Contents
- Title
page
- Statistics
is Four Things
- Descriptive
and Inferencial statistics
- Descriptive
statistics are simple
- Inferential
statistics are more complicated
- Descriptive
vs Inferencial statistics
- Univariate,
Bivariate, Multivariate
- The
Plan
- Univariate
Descriptive Statistics: to describe a sample
- Statistics
vs Parameters
- Central
Tendency and Dispersion
- Levels
of scaling and statistics
- Central
Tendency: mode, median, mean
- The
Mode
- The
Median
- A picture
showing median and quartiles
- When
you use the median and why
- The
Mean
- Summation
notation and the mean
- When
you use the median and why
- Dispersion
- The
less spread out the values are, ...
- For
Nominal data, you can only do Information-theoretic Uncertainty
- The
Inter Quartile Range (IQR)
- Variance
- Deviation
Scores and variability
- A picture
showing deviation scores
- The
mean deviation score
- Why
the mean deviation score is always zero
- The
mean of the squared deviation scores
- Mean
Square, Sum of Squares, and Variance
- Sample
or Population variance
- Standard
Deviation and Variance
- Mean
Square and Root Mean Square
- Four
things about Standard Deviation
- Standard
scores, aka "z-scores"
- How
to calculate standard scores
- Examples
of standard scores
- A positive
z-score means that ....
- Calculating
Standard Deviation
- Pros
and Cons of the basic equation
- An
example of the basic equation showing how it works
- more
of the example in #42
- The
Computational Formula
- How
the computational formula works
- The
computational formula is less work and easier to do
- An
example showing how the computational formula works
- How
much work do you save?
- Why
the computational formula is better
- Are
you describing a sample or a population?
- The
standard deviation and the mean
- z-scores
and the normal distribution
- Scotland
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Information:
Univariate Descriptive Statistics
Last updated:
May 29, 2006
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(c)
Copyright 2006 William D. Richards
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