Brian Hickman bought 2,000 shares of stock at $62 per share. Six months later he sold

Chapter 2 Exploring Data with Graphs and Numerical Summaries 2.1 Different Types of Data Categorical Variables: These are variables that you can put into different groups, generally non-numerical answers. Things like favorite colors, political party affiliation, or letter grades are categorical variables. Quantitative Variables: These are variables that are represented by numerical values. An amount of something. There are two types are quantitative variables: Discrete: these are characterized as having a FINITE amount of possible outcomes. Continuous: these, on the other hand, have an infinite list of possible outcomes and can generally be measured. Note: For quantitative data: there are two key features. Example: The class list below has all the information for each student in a class at the end of the semester, including their year in school, major, exam grades, project grades, number of absences, their average in the class and their final letter grade in the class. Studen Name Year Major Exam Exam Project Project Abs Avg Grade t ID # 1 2 1 2 46895382Aiken, 1 Psych 78 82 20 24 2 81.6 B John 21657845Bailey, 2 PolSci 62 74 15 19 10 68.0 D Kim 13695544Carr, 2 BusAd 95 95 92 25 24 94.4 A May m Which of the previous variables are: Categorical Discrete Quantitative Continuous Quantitative Maj