COMM 104 Lecture Notes - Lecture 1: Statistical Process Control, Statistical Inference, Royal Institute Of Technology
Document Summary
Levels of measurement: nominal, ordinal, interval, and ratio. Population: a set of existing units (people, objects, or events, variable, a measurable characteristic of the population, census, an examination of the entire population of measurements. Sample: a selected subset of the units of a population. Descriptive statistics and statistical inference: descriptive statistic, the science of describing the important aspects of a set of measurements. Statistical inference: the science of using a sample of measurements to make generalizations about the important aspects of a population of measurements. Sampling a population of existing units: random sample, a sample selected from a population so that each population unit has the same chance of being selected as every other unit. Approximately random samples: make a list identifying each and every individual population unit (called a frame, if the population is very large, it may not be possible to list every individual population unit.
