Counting and Probability

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CSRU 1100

Counting and Probability

Counting is Based on Straightforward Rules

• Are countable items combined using the terms such as AND or OR ?

• Are countable items orderable and if so does the order matter in the particular case?

• Do items get reused when you count, or does the use of one item decrease the number of possibilities of the next item?

Counting Can be Summarized as Follows

• Rule #1 : If you can count them on your own, then count them.

• Rule #2 : If terms combine with “ OR ” then you add the numbers.

• Rule #3 : If terms combine with “ AND ” then you multiply the numbers.

• Rule #4 : If the order you select the numbers does not matter (but there is a scenario where they could matter) then divide your answer by n! where n is the numbers of items you are selecting.

Example

Picking Cards

• If you have 52 cards in a deck. How many different ways could someone be dealt a 5 card hand that contains 4 Aces.

• You are selecting 5 cards and the order does not matter.

– You are going to be dealt 4 Aces and you are going to be dealt a 5 th card.

– 4 * 3 * 2 * 1 (but order does not matter so divide by 4!)

– 48 choices for the 5 th card.

– 1 * 48 = 48

Example

Picking License Plates

• Some states have license plates formed with two letters (which must be different) followed by 4 letters or numbers (which can be the same. How many license plates possibilities are there.

• Pick two different letters AND pick 4 letters/numbers.

• Order matters in both cases.

• 26*25 * 36*36*36*36 = 1091750400

Probability

• Knowing how to count also gives you the ability to compute the probability of some event.

• General rules about probability

– All probabilities are numbers between 0 and 1

– A probability of 1 means something is absolutely going to happen

– A probability of 0 means something is NOT going to happen

Probability is just counting

(Twice)

• Each probability is two counting problems.

– Determine how many possibilities you are interested in having occur (this is called the set of outcomes ).

– Determine how many total possibilities of some general event (this is called the sample space )

– Divide the first number by the second – this is your probability

Example

Horse Racing

• 21 horses are in the Kentucky Derby. What is the probability of you picking the winner?

– There is only 1 outcome that interests you (the horse you picked winning)

– There are 21 total possible outcomes (each horse could potentially win)

– Probability is 1/21

Example

Horse Racing 2

• What is the probability that you can pick the top three finishers in order?

– Well again, there is only 1 order that interests you.

– There are 21*20*19 different possibilities for the top three to finish (since order matters).

– 1/7980

Example

Electing Class Officers

• If I am going to select 3 people at random from a class of 20 to be president, vice-president and secretary. What is the probability that you are one of the three students.

– How many groups of 3 are you part of?

• There are 19*18*1 ways you could be secretary

• There are 19*1*18 ways you could be VP

• There are 1*19*18 ways you could be president

• You could be President OR VP OR Secretary.

• 1026 different groupings you could be part of

Class Officers (cont)

• How many total groups of 3 are there (order matters)

– 20*19*18 = 6840

• Probability that you are in one of the groups is

• 1026/6840 = .15

Example

Card Example Revisited

• What is the probability of being dealt a 5-card hand that contains 4 aces.

• We know from earlier that there are 48 different hands with 4 aces.

• How many different 5 card hands are there (order does not matter)

52 * 51 * 50 * 49 * 48 / 5! = 2598960

• So your probability of getting 4 aces is 48/2598960

Trick about order mattering

• When doing probabilities the order mattering question ultimately goes away.

• As long as you are consistent between what you do with the outcome space and the sample space it won’t matter if you make the wrong decision about order mattering.

• In other words as long as you do the same thing for both the outcome space and the sample space then the ordering info cancels itself out.

Other Ideas

• When you look at each possible outcome of an event and determine its probability you will discover that all of the probabilities always add up to 1.

• What are the outcomes of flipping a coin

– Heads – probability ½

– Tails – probability ½

– They add up to 1

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