This document provides an introduction to statistics, covering key concepts such as descriptive versus inferential statistics, qualitative versus quantitative variables, discrete versus continuous variables, and the four levels of measurement (nominal, ordinal, interval, and ratio). Descriptive statistics are used to organize and summarize data, while inferential statistics allow generalizing from a sample to a population. Variables can be qualitative (non-numeric attributes) or quantitative (numeric values), and quantitative variables can be discrete (taking on countable values) or continuous (taking on any value within a range). The levels of measurement refer to the type of data and whether differences and relationships can be determined.

1. What is Statistics Chapter 1

6. Population versus Sample A population is a collection of all possible individuals, objects, or measurements of interest. A sample is a portion, or part, of the population of interest

9. Summary of Types of Variables

11. Summary of the Characteristics for Levels of Measurement

12. End of Chapter 1