math215 Lecture Notes - Lecture 4: List Of Statistical Packages, Non-Sampling Error, Boogie 2Nite
Document Summary
Unit 4 estimation and tests of hypotheses for one population. In unit 3, we discussed probability distributions for both discrete and continuous random variables. At the start of unit 4, we examine sampling distributions that refer to probability distributions of samples statistics, such as the sample mean and sample proportion. Once you understand the concept of sampling distributions, you will be ready to begin the field of inferential statistics. The first topic we consider is the central limit theorem, which allows us to use the properties of sampling distributions to construct confidence interval estimates and conduct tests of hypotheses involving population means and proportions. Confidence interval estimation allows us to estimate a population mean or population proportion based on sample data. As an example, the owner of a restaurant could estimate the mean age of all of his customers, based on a sample survey.
