PSYC 2021 Lecture Notes - Lecture 7: Sampling Distribution, Standard Deviation, Central Tendency
19 Jan 2016
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Document Summary
What are sampling distribution: selecting all possible samples of a given n from a population population. Frequency distributions of statistics (usually ms) obtained by. Allows us to determine: 1) if a sample is representative of a: the probability of obtaining any particular sample from a. Characteristics: 1) sample means (m) pile up around population population mean ( : distribution of sample means is approx normal, with larger n"s the distribution becomes less variable. The central limit theorem: for any population with mean ( ) and standard deviation ( ), the distribution of sample means for sample size n will: M is an unbiased estimator of : have a mean = , have a standard deviation that is called a standard error and is, approach a normal distributions as n approaches infinity (n . = / n: mean = central tendency.
