# TB3 + TB4 RM Key formulas

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- Created by: mint75
- Created on: 18-05-15 16:46

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- RM Key Formulas
- Standard error of the mean (SEM)
- The standard deviation of the sample, divided by the square root of n
- A measure of how well the sample mean estimates to the population mean

- Variance
- Sum of the deviations from the mean squared, and divided by n-1
- Used for describing the spread or variability across scores

- Standard deviation (SD)
- The square root of the variance
- Variance
- Sum of the deviations from the mean squared, and divided by n-1
- Used for describing the spread or variability across scores

- Variance
- Describes how much scores differ from the mean

- The square root of the variance
- Z-Scores
- The score you're comparing - mean, divided by standard deviation
- Standard deviation (SD)
- The square root of the variance
- Describes how much scores differ from the mean

- The square root of the variance

- Standard deviation (SD)
- How to view the score in comparison to the rest of the data set (e.g did she do better in test A than test B compared to the rest of class

- The score you're comparing - mean, divided by standard deviation
- Confidence Intervals
- Multiply the mean by the confidence interval you are looking for e.g 95% confidence, upper limit = 64x1.05, lower limit = 64x0.95
- Indicates how confident you are that the true value will lie under x of the curve, e.g if you are 95% confident that it is between 30-50, 30-50 is the confidence interval

- Standard error of the mean (SEM)

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