HPED 2030 Lecture Notes - Lecture 7: Discrete Category, Central Tendency, Skewness

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Data summary: quantitative variable - a variable for which the scores represent a change in quantity, qualitative variable - a categorical variable for which each value represents a discrete category. Bar graphs: bar graphs and histograms often confused. Continuous data can also be expressed in a frequency polygon. Descriptive statistics: measures of central tendency, measures of variation, distribution shape. 20 y c n e u q e r. Measures of central tendency: mean the average of a data set (used with interval and ratio data, median the middle number of a data set, the center score (used with ordinal, interval, and. Ratio data: mode the value with the greatest frequency (can use with all noir data) Measures of variation: range, standard deviation, both require interval or ratio data. Range: range = high score low score, ex. Data: 3,7,13,1,15,9: range = 15-1 = 14.

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