#statistics #math #distributions #statistics #theory #question
- It is shaped like a bell
- The Sampling Distribution is a normal distribution
- 68% represent 1 standard deviation, 95% represents 2 standard deviation from the mean
- Assumptions about the normal distribution is the last resort even when the Bootstrap is not available
- It also is called Gaussian Distribution
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Standard Normal: How many standard deviations from the mean
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Normalization (Standardization): A data point subtract by the mean and divided by the standard deviation
- z-score
- z-distribution is the set of z-score
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Normalization (Standardization): A data point subtract by the mean and divided by the standard deviation
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QO-plot
- x-axis: how much standard deviations (quantiles)
- y-axis: y-score
- More close to the line more close to the normal distribution
- Errors are normally distributed, similar to the means and totals in large samples
Question
To compare two distribution, we can compare the z-distribution of them or sampling distribution of them and calculate a distance between them?