Center, spread, and shape of distributions

Kevin Lee
7 min read
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Study Guide Overview
This study guide covers data distribution for the AP SAT (Digital) Statistics exam. It focuses on measures of center (mean, median, mode), the impact of outliers on these measures, and distribution shapes (symmetric, skewed). It also includes application examples, common mistakes to avoid, and practice questions covering these concepts.
#AP SAT (Digital) Statistics Study Guide: Data Distribution
Hey there, future AP Stats superstar! Let's dive into data distribution – it's all about understanding how data is spread and what it tells us. Think of it as becoming a data detective, and by the end of this guide, you'll be ready to ace those questions!
#Measures of Center: Finding the Heart of Your Data
Understanding the center of your data is crucial. We use a few different measures, each with its own strengths. Let's break them down:
# Calculating Mean, Median, and Mode
- Mean: The average. Add up all the values and divide by the number of values. Think of it as the balancing point of your data.
- Formula:
- Median: The middle value when your data is ordered from least to greatest. If you have an even number of values, it's the average of the two middle ones. It's like the central point of your data when it's lined up.
- Mode: The value that appears most often. A dataset can have one mode, multiple modes, or no mode at all. It's the most popular value in your data.
Mean: Mean is a balancing act, adding up and dividing. Median: Median is the middle man, ordering and finding center. Mode: Mode is the most, the popular one you see the most.
# Applications and Interpretations
- Mean: Great for finding the overall average, but it's sensitive to extreme values (outliers). Think of it as the average salary, which can be skewed by very high earners.
- Median: A robust measure of center, less affected by outliers. It's useful when you have extreme values that might skew the mean. Think of it as the middle house price that isn't affected by a few mansions.
- Mode: Useful for categorical data (e.g., most popular color). It shows the most common value. Think of it as the most popular choice of ice cream flavor.
- Choosing the right measure: Use the mean for symmetrical data without outliers. U...

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