Mathematics for Business, Science, and Technology with MATLAB and Excel Computations, Third Edition

10.2: The Binomial (Bernoulli) Distribution

10.2 The Binomial (Bernoulli) Distribution

The Binomial (Bernoulli) distribution is defined as


for k = 0, 1, 2, , n and 0 < p < 1. Therefore, b(k;n;p) is non-negative.

From (10.12) and (10.11),


and thus the binomial distribution b(k;n;p) is a pdf of the discrete type.

In (10.13), we call p the probability of a success. Likewise, we call q the probability of a failure.

Then,


For n = 2 and p = 1/2, (10.12) becomes


Moreover, for k = 0, 1 and 2, (10.15) reduces respectively to


The pdf and cdf of the binomial distribution for n = 2, p = 1/2, and k = 0, 1, and 2 are shown in Figures 10.1 and 10.2, We observe that they are the same as in Example 9.1, Chapter 9, Page 9 7,


Figure 10.1: Probability density function for the binomial distribution

Figure 10.2: Cumulative distribution function for the binomial distribution.
Example 10.1

A coin is tossed six times. Compute:

  1. the probability that exactly (no more, no less) two heads show up

  2. the probability of getting at least four heads

  3. the probability of no heads.

  4. the probability of at least one head.

Solution:

Here, n = 6. Let us denote p as a success if heads show up, and q as a failure if tails show up. Obviously, q = 1 ? p and p = q = 1/2.

  1. We use the binomial distribution with k = 2...

UNLIMITED FREE
ACCESS
TO THE WORLD'S BEST IDEAS

SUBMIT
Already a GlobalSpec user? Log in.

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.

Customize Your GlobalSpec Experience

Category: I/Q Modulators and I/Q Demodulators
Finish!
Privacy Policy

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.