SOC210 Lecture 6: Estimation Procedures
12 May 2017
School
Department
Course
Professor
Document Summary
Soc 210 lecture 6 - estimation procedures. The sampling distribution: normal in shape, has a mean equal to the population mean, has a sd (called the standard error: se) equal to the population, sd. In estimation procedures, statistics calculated form random samples are sued to estimate the value of population parameters. An estimator is unbiased if the mean of its sampling distribution is equal to the population value of interest. Sample means and proportions are unbiased estimators: efficiency. Extent to which the sampling distribution is clustered around its mean. Steps to constructing confidence interval for means (larger samples) table a: set the alpha, (probability that the interval will be wrong, find the z score associated with alpha, substitute values into that appropriate formulas. Z = the z score which is determined by the alpha level. So we estimate that the population mean is greater than or equal to 5. 56 and less than or equal to 6. 44.
