SOAN 3120 Chapter Notes -Design Of Experiments, Test Statistic, Sample Space
7 Apr 2014
School
Department
Course
Professor
Document Summary
Individuals: the objects described by a set of data; may be people, animals or things. A variable can take different values for different individuals. Categorical variable: places an individual into one of several groups or categories. Ex. sex, major: quantitative variable: takes numerical values for which arithmetic operations make sense. These values are usually recorded in a unit of measurement. Exploratory data analysis: examining data to describe it"s main features: begin by examining each variable by itself, then study the relationship among the variables, begin with a graph(s) and add numerical summaries of specific aspects of the data. To examine a single variable, display it"s distribution. Distribution: tells us what value it takes and how often it takes these values. The distribution of a categorical variable lists the categories and gives the count/percent of individuals who fall in each category. Roundoff error: when the percentages in a distribution don"t equal 100% because they were rounded.
