This section connects closely to probability. Many counting problems can be solved using the same step-by-step multiplication you used in probability. Permutations, however, often use a memorized formula.
Probabilities tell you how likely an event is. Combinations (in this section’s sense) tell you how many possible outcomes there are.
In a probability problem, you often multiply fractions. The result gets smaller as the event becomes more specific.
Counting combinations works in a similar way, but you multiply whole numbers instead of fractions. For example:
Let’s start with an easy example:
There are cars and drivers. How many possible combinations are there of drivers in their respective cars?
If this were a probability question, you might say:
For counting combinations, you use the reciprocals as counts:
Multiply to get the total number of combinations:
Permutations are more complex than combinations because order matters.
The formula to determine a permutation () is:
where is the number of objects in the problem and is the number of things we take from the total.
This formula introduces a new symbol, the factorial (). A factorial means you multiply the number by every whole number below it down to . For example:
You can compute factorials by writing them out, or by using your calculator. On a TI-84, the factorial symbol is found under the “math” button and the “probability” tab.
Here’s an example:
There is a table with four seats and five possible guests to fill it. How many possible combinations of seat arrangements are there?
We’ll first use the formula, then connect it to the counting idea.
Remember the formula:
For this question, and .
Now, here’s what that means in plain counting terms:
So the total number of arrangements is:
That’s why permutations count “combinations that depend on order.”
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