SOCIOL 5 Lecture Notes - Lecture 13: Statistical Significance, Confidence Interval, Sampling Frame
Document Summary
Numerical techniques to describe characteristics of a quantitative data set. Techniques to make larger claims of a group of people on basis of small subset of group. Lower variance of resulting distribution of sample means. : avg distance of sample values by population values is measured by standard error. Standard error = 7. 2 / sq rt of w5 = 7. 2 / 5 standard deviation divided by n squared. 1-p = prob person no and n = sample size. Standard error = sq rt %yes x %no / n-1. We do not know p (the population parameter) (or for that matter pop sd) What changes standard error: s. e. increases when s. d. Of pop increases: s. e. decrease when sample size increases. Distribution of estimated stats has lower variance and approaches a normal distribution. Therefore, we can calculate how close the estimated stats are to population parameters, based on. Using s. e we cannow talk about 2 critical pieces of info.
