CJUS-K300 1nd Edition Lecture 5Outline of Last Lecture II. Measures of Central TendencyIII. DistributionsOutline of Current Lecture IV. VarianceV. Standard DeviationCurrent LectureGetting rid of a negative sign – take the absolute value is the most obvious way. In this case we should square all the negative numbers so we do not have any negative deviations. Variance: A one number summary of how spread out the values for a variable are, taking into account every value for the variable. For population data, the variance is referred to as sigma squared σ^2- σ^2 = Σ(x-μ)^2/NFor a sample, the variance is referred to as s^2 - S^2 = E(x-x_)^2/n-1Standard deviation is the square root of the variance. When the numbers are more spread out the variance is larger and when the variance is larger the standard deviation is larger Easier view of the formulasVariance for population data These notes represent a detailed interpretation of the professor’s lecture. GradeBuddy is best used as a supplement to your own notes, not as a
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