Understanding Distribution Shapes
Distributions are simply ways to show how data is spread out. Think of it like looking at test scores for your entire class - some students scored high, some low, and others somewhere in the middle.
There are three main shapes distributions can take. Symmetric distributions look like a bell curve with data evenly spread around the middle (like a perfectly round hill). This happens when most values cluster around the average.
Skewed distributions lean to one side. In a positively skewed (right-skewed) distribution, the tail stretches to the right - like when a few students get super high test scores. In a negatively skewed (left-skewed) distribution, the tail stretches left - like when most students ace a test but a few get low scores.
Fun Fact: A uniform distribution looks like a flat rectangle because all values appear equally often - like rolling a fair die where each number has the same chance of appearing!
