We can only ESTIMATE data with statistics; a sample isn’t a perfect reflection of the population.
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3 **Similarities** of Z and T Distributions
1. **C**ontinuous and never touches the x-axis 2. **S**ymmetric and unimodal 3. **M**ean=Median=Mode=0
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3 **Differences** of Z and T Distributions
1. **F**amily of Curves based on Degrees of Freedom 2. **A**s sample size (n) increases, the T Distribution approaches a standard normal distribution 3. **V**ariance (s) > 1
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3 Properties of the χ² Distribution
1. **F**amily of Curves, based on Degrees of Freedom 2. **A**s the D.O.F. number increases, the graph approaches a more ‘normal’ distribution 3. **B**egins at 0; right-skewed graph