Statisticss Cheatsheet 1
by Lei Bao
Population and Sample
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Population - everything
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Sample - subset
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Parameter (population) & Statistics (sample)
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Census (population data) & Sampling (subset data)
Levels of Measurement (NOIR)
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Nominal - descriptions
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Ordinal - orders
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Interval - numbers without zero
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Ratio - numbers with zero
Types of Data Sampling
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Convenience - due to convenience
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Random - drawing names out of hat
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Systematic - every
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Cluster - randomly picking groups (smaller) from groups (larger)
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Stratified - randomly picking percentage from each group
Similarity | Difference | |
---|---|---|
Cluster | Dividing population into groups | Randomly picking group(s) from groups |
Stratified | Dividing population into groups | Randomly picking percentage from each group |
Shapes of Distributions
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Bell-Shaped (Normal Distribution)
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Skewed Left
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Skewed Right
Descriptive Statistics
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Range
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Mean
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Median
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Mode
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Variance
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Standard Deviation
Empirical Rule
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68%:
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95%:
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99.7:
Regression
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Find regression equations given a set of data
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Make prediction based on the regression equation
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