Hey, it’s Chip! Today, let’s talk about the **two types of numeric data: continuous and discrete.** 🤓

**Continuous data** is data that can take on any value in a given range or interval. Examples of continuous data include height, weight, and temperature. 📏

For example, if you are measuring the temperature outside, you might get a reading of 73.6°F. This is an example of continuous data because the temperature can take on any value within a certain range. 🔥

On the other hand,** discrete data** is data that can only take on certain integer or count values. Examples of discrete data include the number of siblings someone has, the number of books in a library, or the number of cars in a parking lot. 🔢

For example, if you are counting how many cars are in a parking lot, you might count 15 cars. This is an example of discrete data because the number of cars can only take on integer values – you can’t have half a car or a quarter of a car. 🚗

Continuous data is often represented by a line graph or curve, while discrete data is often represented by a bar graph or histogram. Knowing the type of numeric data you are working with can help you choose the appropriate way to visualize and analyze your data. 📊

In summary, continuous data is data that can take on any value in a given range, while discrete data can only take on certain integer or count values. Understanding the type of numeric data you are working with can help you better analyze and make decisions based on your data. 💡