Statistical Sciences 1024A/B Study Guide - Comprehensive Final Exam Guide - Standard Deviation, Normal Distribution, Dependent And Independent Variables

• School: Western University
• Department: Statistical Sciences
• Course: Statistical Sciences 1024A/B
• Professor: John Thompson

Document Summary

Individuals: objects described by a set of data (ie. people, animals etc) Variable: any characteristic of an individual > a variable can take different values for different individuals (ie. age, height) Quantitative: something that can be measured or counted for each individual that can be manipulated across individuals across a population. Categorical: something that falls into a category > what can be counted is the count of individuals in each category. Tells us what values it takes and how often it takes these values. Distribution is the probability a variable takes on certain value. The values of a categorical variable are labels for the categories. The distribution of a categorical variable lists the categories and gives either the count or the percent of individuals who fall in each category. Bar graph: a graph that displays the frequency or numerical distribution of a categorical variable. Visual comparison of the values of the categories.