SOC222H5 Lecture Notes - Lecture 3: Standard Deviation, Nonprobability Sampling, Vise

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Lecture 3 normal curve, z-score & sampling distribution. Properties of the normal curve (also called the bell curve or the gaussian curve) It is a perfectly smooth frequency polygon with a unimodal, bell shape. Applying the normal curve to empirical reality: the normal curve is a theoretical ideal. It is particularly useful for interval-ratio data, even if an empirical distribution does not coincide perfectly with the theoretical distribution. Its width and height are dependent on the mean and standard deviation of a given distribution. Not every normal curve looks exactly the same. 0 probability 1 (or 0 probability (%) 100). Standard scores (z) and the standard normal distribution. The z-score (standard score: the standard score is also called the z-score or the normal score. It allows us to find the amount of area (or number or proportion of cases, or probability) that falls above or below a selected score, or between two scores, in an empirical distribution.

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