**Link**: Probability

When stack data into bins (range), we get Histogram.

We use a **curve** to approximate the histogram.

Both the histogram and the curve are distibutions, which shows how the probability of measurements are distributed.

Pros:

- Itâ€™s more informative, because itâ€™s not limit to discret data points/range.
- Itâ€™s more precise, because the curve is also not limited by the width of bins (range).
- For limited data points, use the approximate curve based on mean and sd is usually good enough

Distribution can have many shapes.

- Normal distribution: determined by mean and SD
- Exponential distribution: determined by rate
- Gamma distribution: determined by shape and rate
- Binomial distribution