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Statistical principles
Explanations > Social Research > Statistical principles
There are a number of basic principles of statistics that need to be understood when doing social research. Here they are:
- Central limit theorem: Distribution of sample means is normal
- Correlation: Relationship between variables.
- Covariance: Common movement between variables.
- Degrees of freedom: N-1, of course.
- Experimental effect: Importance of result.
- Frequency distributions: Histograms and measures.
- Experimental power: Ability of test to avoid type 2 error.
- Standard error: Spread of sample means.
- Sum of the Squares, SS: Basic measure of spread.
- Variance: Common measure of spread.
- Measuring centering: Mean, median and mode.
- Measuring spread: Range and standard deviation.
- Z-score: A simple deviation measure.
See also
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