#AP Statistics: Data Analysis - Your Night-Before Review 🚀

Hey! Let's get you feeling super confident for your AP Stats exam tomorrow. We're going to break down data types and relationships, making sure it all clicks. Let's do this!

#Data Types: Categorical vs. Quantitative

First things first, let's talk data. It's either categorical or quantitative.

• Categorical Data: Think categories or groups. It's all about attributes, described by percentages or proportions. Like, "What's your favorite color?" or "Do you prefer cats or dogs?"
• Quantitative Data: This is numerical data where you can do math. If you can average it, it's quantitative. Think, "How tall are you?" or "How many hours did you study?" 📏

#Bivariate Data: Exploring Relationships

Now, let's dive into relationships between two variables. This is called bivariate data. We'll look at both categorical and quantitative pairings.

#Bivariate Categorical Data

When both variables are categorical, we're looking at how categories relate. For example, "Does class year affect homework completion?" Here are some ways to visualize it:

• Histograms: Bar charts showing counts in each category. Useful for seeing raw numbers. 📊

  

• Frequency Charts: Similar to histograms but show percentages instead of counts. Great for comparing proportions. 📈

  ![Frequency Chart](https://zupay.blob.core.windows.net/resources/files/0baca4f698004192...