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Probability Theory

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Probability Theory
Notation for the Binomial Distribution

P(S) The symbol for the probability of success

P(F) The symbol for the probability of failure

p The numerical probability of a success

q The numerical probability of a failure

P(S) = p and P(F) = 1 - p = q

n The number of trials

X The number of successes

The probability of a success in a binomial experiment can be computed with the following formula.

Binomial Probability Formula

In a binomial experiment, the probability of exactly X successes in n trials is

An explanation of why the formula works will be given in the following example.

Example 1:

A coin is tossed three times. Find the probability of getting exactly two heads.

Solution:

This problem can be solved by looking that the sample space. There are three ways to get two heads.

HHH, HHT, HTH, THH, TTH, THT, HTT, TTT

The answer is or 0.375.

The probability of a success in a binomial experiment can be computed with the following formula.

Binomial Probability Formula

In a binomial experiment, the probability of exactly X successes in n trials is

An explanation of why the formula works will be given in the following example.

Example 1:

A coin is tossed three times. Find the probability of getting exactly two heads.

Solution:

This problem can be solved by looking that the sample space. There are three ways to get two heads.

HHH, HHT, HTH, THH, TTH, THT, HTT, TTT

The answer is or 0.375.

Looking at the problem in the previous example from the standpoint of a binomial experiment, one can show that it meets the four requirements.

1. There are only two outcomes for each trial, heads or tails.

2. There is a fixed number of trials (three).

3. The outcomes are independent of each other (the outcome of one toss in no way affects the outcome of another toss).

4. The probability

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