PSYB07H3 Chapter Notes - Chapter 1: Exploratory Data Analysis, Statistical Inference, John Tukey
Document Summary
Chapter 1 random sample: ensures that each and every element of the population has an equal chance of being selected; ex. Drawing names from a hat randomly assign: which subjects are part of which groups. Population sample random sample random assignment. Population: the entire collection of events in which you are interested; ex. Non-random sample: intended to closely reflect what would be obtained with a truly random sample. Dependent variable: the data the study is about the independent variables, and the results of the study (the data) are the dependent variables. Discrete variables: can take on only a limited number of values; ex. gender continuous variables: can assume any value between the lowest and highest points on the scale; ex. age. Parameter: a measure that refers to the entire population statistic: the same measure (^) when calculated from a sample of data.
