STAT 210 Lecture Notes - Lecture 13: Confidence Interval, Null Hypothesis, Statistical Parameter
Document Summary
Statistical inference involves using statistics computed from data collected in a sample to make statements (inferences) about unknown population parameters. Two types of statistical inference are estimation of parameters using confidence intervals and statistical tests about parameters. The first step in any inference procedure is to state the practical question that needs to be answered. This involves specifying the population of interest, and then the specific parameter that inferences need to be made about. The basic concepts associated with confidence intervals and with statistical tests. Confidence intervals are statistical procedures that allow for the estimation of unknown population parameters: the procedure involves both the calculation of the interval, and then the interpretation of the interval, the interpretation is the statistical inference. The value computed from the sample data collected is referred to as the point estimate of the unknown population parameter.
