SOC280 Lecture Notes - Lecture 7: Confidence Interval, Standard Deviation
9 Mar 2014
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Lecture 7 statistical models2 - summary page: standard error. Allows you to determine how well your sample can be generalized to the population. Se = standard deviation of sample means: how well your sample represents the greater population from which the sample was drawn, the se is a measure of the standard deviation of sample means. X = independent score, xbar = mean, n = number of cases in your sample. By increasing sample size we decrease standard error. We want as low of standard of error as possible. By increasing sample size we increase confidence in our research. Therefore larger samples are good because they decrease error: confidence intervals, 95% is the conventional value, so we are likely to be wrong 5% of the time. b. If you took 100 samples, the mean of 95 of those samples are likely to be within the range of the confidence interval: overlapping confidence intervals.
