Sampling and Statistics 4

# Sampling and - around midpoint Mesokurtic(a.k.a “normal curve” Ideal shape Basis of a number of assumptions to be made later on Platykurtic

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Research Methods Sampling and Statistics Lecture Material by Laurel Tranynowicz Distributions There are three main ways to describe distributions of data: 1. Shape of distribution 2. Measures of central tendency (typical scores) 3. Measures of variability (differences between scores) SHAPE Two distinctive features of distributions: 1. Symmetry 2. Mode (most frequently occurring score) or “peak.” SYMMETRY Bell-shaped curves Described in terms of kurtosis or curvature Leptokurtic: Thin distribution characterized by most of the values concentrated

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Unformatted text preview: around midpoint. Mesokurtic: (a.k.a. “normal curve”) Ideal shape; Basis of a number of assumptions to be made later on. Platykurtic: Distribution characterized by a flat curve. Non-Bell Shaped Curves U-Shaped Curves Biomodal If a curve is not symmetrical, it is skewed Positive Skew: High number of low scores (the tail is drawn out positively, to the right.) Negative Skew: High number of high scores (the tail is drawn out negatively, to the left.) MODE: Single Peak Double Peak...
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## This note was uploaded on 01/29/2011 for the course COMMUNCATI COMM 302 taught by Professor Laureltraynowicz during the Spring '09 term at Boise State.

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Sampling and - around midpoint Mesokurtic(a.k.a “normal curve” Ideal shape Basis of a number of assumptions to be made later on Platykurtic

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