SOC202H1 Lecture 3: Lecture 3 Jan 24th 2012 SOC202H1 Shirin Montazer
Document Summary
Measures of central tendency are an incomplete measures alone. Variation in the distribution of scores important to understand. Index of how scores are distributed around the center is also needed. In equation form: r = h l. Range = difference between the highest and lowest scores in a distribution. H = highest scoer in a distribution. Range provides a crude measure of variation (often useless) Range = 11 1 = 10. Deviation: distance of any given raw score from its mean. Need a measure of variability that takes into account every score. Afterwards divide the squared deviation by the amount of scores. With variance, unit of measurement is altered. The result is the measure known as variance. To return to the original unit of measurement, remove squared units by taking the square root of both sides of the equation. In equation form: s = sqroot of [e(x-x)2 / n] The raw-score formula for variance and standard deviation.
