Basic Concepts
In a nutshell: Data can be sorted into types like qualitative, quantitative, discrete, and continuous.
## Understanding Data
Data is the foundation of statistics! It comes in many forms, and knowing the types helps us decide how to analyze and present it.
### Qualitative vs. Quantitative
* **Qualitative data** describes qualities or categories—like favorite colors or types of pets.
* **Quantitative data** represents numbers or amounts—like how many apples you have or your height in centimeters.
### Discrete and Continuous Data
* **Discrete data** can be counted in whole numbers, such as the number of siblings you have.
* **Continuous data** can take any value within a range, like temperature or the time it takes to run a race.
## Why Data Types Matter
Knowing the type of data helps you choose the right charts, statistical tests, and summaries.
### Real-World Uses
Scientists use quantitative data to measure temperatures, while marketers analyze qualitative data about customer preferences.
Examples
- Survey results on students' favorite ice cream flavors are qualitative data.
- The number of pages in a book is discrete quantitative data.
Key terms
- Qualitative Data
- Data that describes qualities or categories, not numbers.
- Quantitative Data
- Data that can be measured or counted using numbers.