# Lesson 2: Describing Data, Part 1

This lesson corresponds to Sections 2.1-2.3, and P.1in the Lock^5 textbook.

Recall from Lesson 1 that variables can be classified as categorical or quantitative:

** Categorical**: Names or labels (i.e., categories) with no logical order or with a logical order but inconsistent differences between groups

** Quantitative**: Numerical values with magnitudes that can be placed in a meaningful order with consistent intervals, also known as numerical

The graphs, descriptive statistics, and inferential statistics that are appropriate depending on nature of the variable(s) in a given scenario. Before beginning this lesson, you should be able to classify variables as categorical or quantitative. If you are having difficulties with this, go back to review Lesson 1 or speak with your instructor.

### Lesson 2 Learning Objectives

Upon successful completion of this lesson, you will be able to:

- Compute and interpret a basic proportion/risk/probability and odds
- Distinguish between risk and odds
- Select the appropriate visual representation for one categorical variable, two categorical variable, and one quantitative variable
- Use Minitab Express to construct frequency tables, pie charts, bar charts, two-way tables, clustered bar charts, histograms, and dotplots
- Compute and interpret complements, intersections, unions, and conditional probabilities given a two-way table
- Identify outliers on a histogram or dotplot
- Interpret the shape of a distribution
- Compute and interpret mean, median, mode, standard deviation, and z scores
- Apply the 95% Rule
- Interpret a five number summary