4.3 Probability and Areas Under the Curve.4.2 Probability Density Functions (PDFs).3.28 When do we find normally distributed data?.3.27.4 In normally distributed data, nearly all of the scores (about 99.7%) will be +/- 3 standard deviations from the mean. ![]() 3.27.3 In normally distributed data, most all of the scores (about 95%) will be +/- 2 standard deviations from the mean.3.27.2 In normally distributed data, a majority of the scores (about 68%) will be +/- 1 standard deviation from the mean.3.27.1 Unlike variance, SD is expressed in the same units as the variable.3.27 Standard Deviation is More Useful than Variance or Sum of Squares.3.20 Population Parameters versus Sample Statistics.3.18 Skewness – From Measures of Central Tendency.3.17 Which Measures of Central Tendency Are Appropriate?.3.10 Skewness & Kurtosis: From a Histogram.3.7 Histograms for Continuous Variables, Bar Graphs for Discrete Variables.3 Descriptive Statistics and Data Visualization.2.7 Experimental, Quasi-Experimental, and Non-Experimental Studies. ![]() ![]()
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