STA220H5 Chapter Notes - Chapter 1: Selection Bias, Statistical Inference, Simple Random Sample
Document Summary
This involves collecting, classifying, summarizing, organizing, analyzing, presenting, and interpreting numerical and categorical information. Descriptive statistics utilizes numerical and graphical methods to look for patterns in a data set, to summarize the information revealed in a data set, and to present that information in a convenient form. Inferential statistics utilizes sample data to make estimates, decisions, predictions, or other generalizations about a larger set of data. An experimental (or observational) unit is an object (e. g. , person, thing, transaction, or event) about which we collect data. A population is a set of all units (usually people, objects, transactions, or events) that we are interested in studying. A variable is a characteristic or property of an individual experimental (or observational) unit in the population. A sample is a subset of the units of a population. A statistical inference is an estimate, prediction, or some other generalization about a population based on information contained in a sample.
