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Lecture

# Lab Notes 2.13.14.doc

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Department
Sociology
Course
SOC 282
Professor
Dr.Mullan
Semester
Spring

Description
Lab Notes 2.13.14 • Theoretical distribution of all possible sample values for the statistic in which we are interested. • Sampling error: the discrepancy between a sample estimate of a population parameter and the real population parameter • Sampling distribution of the mean: theoretical probability distribution of sample means that would be obtained by drawing from the population all possible samples of the same size. The mean of the sampling distribution of all possible sample means is denoted as mu of xbar • Standard error of the sampling distribution of sample meansL the standard deciation of the sampling distribution of the mean. It describes how much dispersion there is in the sampling distribution of the mean, often denoted as sima of xbar’ • The mean of the sampling distribution os all possible sample means equal to the population mean mu of xbar equals mu • The standard deviation of the sampling distrubtion of sample means (standard error) equals to the population standard deviation divided by the square root of n, where n is the sample size your draw sigma of xbar = sigma divided by square root of n • Central Limit Theorem o As the sample size increases, the sampling distribution of sample means gradually approximates the normal distribution regardless of the population distribution. o General form: z= (x of I minus xbar) divided by s of x o If the sampling distribution of sample means approximates
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