Proportion vs Rate

Both terms below come up in the same part of the course, and students mix them up. Here is each one defined on its own, side by side, so you can see where they part company.

Proportion

Variables and data types

A proportion is a part-to-whole fraction between 0 and 1, found by dividing the count in a category by the total number of observations.

A proportion rescales a count so that groups of different sizes become comparable, and because it is a part of a whole it can never fall below 0 or rise above 1. In symbols p^=x/n\hat{p} = x / n, where p^\hat{p} (p-hat) is the sample proportion, xx is the count in the category, and nn is the sample size; the population version is written pp. For example, if 45 of 300 students walk to school then p^=45/300=0.15\hat{p} = 45 / 300 = 0.15, or 15 percent. Proportions carry no units, which is what separates them from rates such as 7 cases per 1,000 people per year.

Full entry for proportion

Rate

Variables and data types

A rate divides a count by the size of the base it came from, such as time or population, so it carries units like per year or per 1,000.

A rate answers how many per unit of something else, so unlike a proportion its numerator need not be part of its denominator and its value can exceed 1. For example, 84 emergency room visits in a town of 12,000 people over one year is 84/12000=0.00784 / 12000 = 0.007 visits per person per year, normally reported as 7 visits per 1,000 people per year. Speed works the same way: 60 miles per hour is a rate, and no proportion could ever equal 60. Always state the base and the time window, because 7 per 1,000 per year and 7 per 1,000 per decade are very different claims.

Full entry for rate

Where each one fits in the course