# Lecture 1 - NW Lecture 1 Material Covered in This Lecture...

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NW Lecture 1 Material Covered in This Lecture: Chapter 1, Section 1.1: Displaying Distributions with Graphs. 1 2 1. Definitions (Introduction, p.4-6) 3 (1). Individuals are the objects described by a set of data. (2). Variable: A variable is any characteristic of an individual. A variable can take different values for different individuals Example: A college's student data base includes data about every currently enrolled student. The students are the individuals described by the data set. For each individual, the data contain the values of variables such as date of birth, gender, choice of major, and grade point average (GPA). The following is a small part of the data set in MINITAB.

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( 3). Classification of Variables Categorical Variable : A categorical variable places an individual into one of several groups or categories. Example: Gender, Major, Blood type, etc. Quantitative Variable : A quantitative variable takes numerical values for which arithmetic operations such as adding and averaging make sense. Example: Weight, Height, etc. 1 2 2. Displaying Distribution with Graphs. (Section 1.1, p.7-24) Exploratory data analysis: Investigate the rough, basic structure of the data. Two basic strategies to organize the exploration of a set of data: 0 h Begin by examining each variable by itself. Then move on to study the relationships among the variables. 1 h Begin with a graph or graphs. Then add numerical summaries of specific aspects of the data.
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Lecture 1 - NW Lecture 1 Material Covered in This Lecture...

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