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Lecture

SOC202 Sampling distributions & confidence intervals

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Department
Sociology
Course
SOC202H1
Professor
Scott Schieman
Semester
Winter

Description
th February 5 Sampling Distributions & Confidence Intervals -sample to sample variability how much variation do you have from sample to sample  calculate standard deviation; little consensus if there is a large SD less spread around the mean = smaller SD = more consensus -large standard error = less reliability in sample standard deviation is numerator for formula of standard error denominator is sample size  larger denominator = better because it spreads out more; therefore a decreases standard error -sampling distribution of means: taking samples over and over again and plotting the means -large error term: large sample to sample variability and wide confidence intervals -larger CI = size of error term
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