POLS 3650 Lecture Notes - Lecture 6: Kurtosis
2 Apr 2015
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The normal distribution: defn and relevance, average value middle value, don"t need to know f(x, area within 1sd = 68%, etc, deviations from normality, unimodal one mode, bimodal 2 modes, multimodal many modes, mesokurtic capture 68% of cases within 1sd, leptokurtic bw 1 sd is much higher than 68%, more cases closer to most common value, platykurtic. Fewer than 68% of cases are captured in 1sd of mean: normality in freq dist, binomial dist probability dist freq when the # cases is large, quickly approximate a normal dist, normality in sampling dist, key point end up with a normal dist of the mean, central limit theorem*, the sampling dist of a sample mean (if you randomly sample and have a large sample size) will be approximately normal.
