SOAN 2120 Lecture Notes - Lecture 8: Standard Score, Decimal Mark, Percentile

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Stems go highest to lowest vertically, leaf goes smallest on the left and the largest on the right. Use a key in the stem and leaf display. Allows you to keep the actual values in the dataset. Numerical methods: population parameters, sample statistics, 3 measures of central tendency: Describe and locate the central values of the data. Sigma in the standard deviation formula means the sum of numbers or summation: measures of variability: Tell us about the dispersion of the dataset. Deviation: how far away a measurement is from the average. Standard deviation: the positive square root of the variance. Tells us where values in the data set lie in relation to the mean. Empirical rule: nearly every measurement (99. 7%) are within +/- 3 standard deviations from the mean. 68% of the values are within +/- 1 standard deviation from the mean: measures of relative standing:

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