PSYC 1010 Chapter Notes - Chapter 6: Central Limit Theorem, Standard Deviation, Normal Distribution
Document Summary
Specific bell-shaped curve that is unimodal, symmetric and defined mathematically. Describes the distributions of many characteristics and measures that vary. A distribution resembles a normal curve as the size of the sample approaches the size of the population (if the population is normally distributed) Converts individual scores to standard scores for which we know the percentiles (if data is normally distributed) Converts individual scores from different normal distributions to a shared normal distribution with a known mean, standard deviation and percentiles. The number of standard deviations a particular score is from the mean. Give us the ability to convert any variable to a standard distribution, allowing us to make comparisons among variables. Any score using any measure can be converted to a z distribution (ex. height and weight can be compared using z scores) We need the mean and standard deviation of the population of interest in order to convert a raw score into a z score.
