STA 301 Lecture Notes - Lecture 2: Unimodality, Box Plot, Chemical Engineering

• School: Miami University
• Department: Statistics
• Course: STA 301
• Professor: Lisa Werwinski

Document Summary

We will learn how to differentiate between the two types of data (quantitative and qualitative) to guide our choice of numerical summaries and graphical displays. We will then study specific types of numerical summary statistics and graphical displays for both quantitative and qualitative data. Furthermore, we will discuss how to describe the distribution for qualitative and quantitative data. Variable - any characteristic observed in a study. Data - the values of a variable for one or more people or things. Observation - each individual piece of data. Data set - the collection of all observations for a particular variable. Categorical (qualitative) variable - non numerical variable with different categories: example: hair color. Your turn: give another example of a qualitative variable. Quantitative variable -numerical variable: we can find arithmetic summaries such as means or ranges, example: age. Your turn: give another example of a quantitative variable. height.