### Probability

#### Probability Basics

#### Probability Problems

#### Poker Probability

- Probability in stud poker
- Probability of straight
- Probability of flush
- Cards of equal rank
- Probability of no pair

#### Random Variables

#### Discrete Distributions

#### Continuous Distributions

### Probability: Table of Contents

#### Probability Basics

#### Probability Problems

#### Poker Probability

- Probability in stud poker
- Probability of straight
- Probability of flush
- Cards of equal rank
- Probability of no pair

#### Random Variables

#### Discrete Distributions

#### Continuous Distributions

# How to Solve Probability Problems

You can solve many simple probability problems just by knowing two simple rules:

- The probability of any sample point can range from 0 to 1.
- The sum of probabilities of all sample points in a sample space is equal to 1.

The following sample problems show how to apply these rules to find (1) the probability of a sample point and (2) the probability of an event.

## Probability of a Sample Point

The **probability** of a
sample point is a measure of the likelihood that the sample point will occur.

**Example 1**

Suppose we conduct a simple
statistical experiment. We flip a coin one time. The coin flip can have
one of two equally-likely outcomes - heads or tails. Together, these outcomes represent the
sample space of our experiment. Individually, each outcome represents a sample
point in the sample space. What is the probability of each sample point?

*Solution:* The sum of probabilities of all the sample points must equal 1.
And the probability of getting a head is equal to the probability of getting a
tail. Therefore, the probability of each sample point (heads or tails) must be
equal to 1/2.

**Example 2**

Let's repeat the experiment of Example 1, with a die instead of a coin. If we
toss a fair die, what is the probability of each sample point?

*Solution:* For this experiment, the sample space consists of six sample
points: {1, 2, 3, 4, 5, 6}. Each sample point has equal probability. And the
sum of probabilities of all the sample points must equal 1. Therefore, the
probability of each sample point must be equal to 1/6.

## Probability of an Event

The probability of an event is a measure of the likelihood that the event will occur. By convention, statisticians have agreed on the following rules.

- The probability of any event can range from 0 to 1.
- The probability of event A is the sum of the probabilities of all the sample points in event A.
- The probability of event A is denoted by P(A).

Thus, if event A were very unlikely to occur, then P(A) would be close to 0. And if event A were very likely to occur, then P(A) would be close to 1.

**Example 1**

Suppose we draw a card from a deck of playing cards. What is the probability
that we draw a spade?

*Solution:* The sample space of this experiment consists of 52 cards, and
the probability of each sample point is 1/52. Since there are 13 spades in the
deck, the probability of drawing a spade is

P(Spade) = (13)(1/52) = 1/4

# Teach Yourself to Shoot

- A scientific approach to marksmanship training.
- For hand-gunners who want to be marksmen.

**Example 2**

Suppose a coin is flipped 3 times. What is the probability of getting two tails
and one head?

*Solution:* For this experiment, the sample space consists of 8 sample
points.

S = {TTT, TTH, THT, THH, HTT, HTH, HHT, HHH}

Each sample point is equally likely to occur, so the probability of getting any particular sample point is 1/8. The event "getting two tails and one head" consists of the following subset of the sample space.

A = {TTH, THT, HTT}

The probability of Event A is the sum of the probabilities of the sample points in A. Therefore,

P(A) = 1/8 + 1/8 + 1/8 = 3/8

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