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Two terms that students often get confused in statistics are **probability** and **proportion**.

Here’s the difference:

**Probability**represents the chances of some event happening. It is*theoretical*.**Proportion**summarizes how frequently some event actually happened. It is*empirical*.

We often use probability when talking about the chances of some event happening in the future.

By contrast, we often use proportion when describing how often some event actually happened in the past.

The following examples illustrate the differences between probabilities and proportions in different scenarios.

**Example 1: Probability vs. Proportion in Coin Flips**

If we flip a fair coin, the **probability** that it will land on heads is 0.5 or **50%**.

However, if we flip a fair coin 20 times then we can actually count the **proportion** of times it landed on heads. For example, perhaps it landed on heads in **60%** of the flips.

The probability of landing on heads is theoretical, but the proportion of times the coin landed on heads is empirical – we could actually count the proportion.

**Example 2: ****Probability vs. Proportion in Die Rolls**

If we roll a six-sided die, the **probability** that it will land on the number “4” is 1/6 or about **16.67%**.

However, if we roll the die 10 times then we can actually count the **proportion** of times it landed on 4. For example, perhaps it landed on “4” in **20%** of the rolls.

The probability of rolling a “4” is theoretical, but the proportion of times the die landed on “4” is empirical – we could actually count the proportion.

**Example 3: ****Probability vs. Proportion in Spinners**

If we spin a spinner split into four equal parts – red, blue, green, purple – the **probability** that it will land on purple on any given spin is **25%**.

However, if we spin the spinner 100 times then we can actually count the **proportion** of times it landed on purple. For example, perhaps it landed on purple during **15%** of spins.

The probability of the spinner landing on purple is theoretical, but the proportion of times it landed on purple is empirical – we could actually count the proportion.

**Example 4: ****Probability vs. Proportion in Card Decks**

In a standard deck of 52 cards, there are 4 Queens. Thus, the **probability** of choosing a Queen on any random draw is 4/52 = **7.69%**.

However, if we take a random draw (and replace the card we draw) 50 times, we can actually count the **proportion** of times we draw a Queen. For example, perhaps we draw a Queen in **10%** of the draws.

The probability of the choosing a Queen is theoretical, but the proportion of times we actually choose a Queen is empirical – we could actually count the proportion.

**Additional Resources**

Likelihood vs. Probability: What’s the Difference?

Law of Total Probability: Definition & Examples