Unit 1: Exploring One-Variable Data

In this unit, we will delve into various methods for analyzing and interpreting one-variable data, including measures of central tendency, variability, and graphical representations. We will also explore how to summarize data using histograms, box plots, and stem-and-leaf plots, allowing for a comprehensive understanding of data distributions.

 1.2 The Language of Variation - Variables

DAILY VIDEO 1

In this video, we will describe the structure of a data set. This video also introduces the two main types of variables and discuss how to distinguish them.

Key Takeaways

How do we identify the individuals and variables in a data set?

Individuals: People, animals, or things described by a set of data 

Variable: Characteristics that change from one individual to another

What are the two main types of variables, and how do we distinguish them?

Categorical variable: Takes values that are category names or labels

Quantitative variable: Takes numerical values for a measured or counted quantity.