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This 1 page Study Guide was uploaded by Upasana Raja on Friday September 25, 2015. The Study Guide belongs to PSY 1004 - 001 at Temple University taught by Shree Lounge in Summer 2015. Since its upload, it has received 37 views. For similar materials see CRITICAL THINKING IN PSYCHOLOGY in Psychlogy at Temple University.
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Date Created: 09/25/15
Chapter 6 Standard error The standard deviation of the sampling population The standard error is the standard deviation of the sampling distribution Standard error will be affected by 1 Sample size 2 Standard deviation Which means larger the standard deviation larger the variance Standard Error of Means SEM Provides a useful way to quantify sampling error It is useful because it allows us to represent the amount of sampling error associated with our sampling process how much error we can expect on average in a given sample distribution The measure of how much random variation we would expect from samples of equal size drawn from the same population Different random samples of the same size from the same population will produce different means Expected Values of the Means The mean of the sampling distribution of the mean Central Limit Theorem If the sample size of the population ie n30 then we have a normally distributed bell curve Formula for calculation the standard error
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