L33 Psych 300 Chapter Notes - Chapter 6: Normal Distribution, Central Limit Theorem, Standard Deviation
7 Feb 2019
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Chapter 06: the normal curve, standardization, and z scores. The normal curve - a specific bell-shaped curve that is unimodal, symmetric, and defined mathematically. The normal curve describes the distributions of many variables. As the size of a sample approaches the size of the population, the distribution resembles a normal curve (as long as the population is normally distributed) How to use the normal curve to standardize any variable by using a tool called the z score. The central limit theorem, which, coupled with a grasp of standardization, allows us to make comparisons between means. Standardization - a way to convert individual scores from different normal distributions to a shared normal distribution with a known mean, standard deviation, and percentiles. Z score - the number of standard deviations a particular score is from the mean. Like all statistical symbols, the z is italicized. If your score is 2 standard deviations above the mean, your z score is 2. 0, if your.
