Mathematics for Business, Science and Technology: With MATLAB and Spreadsheet Applications, Second Edition

11.2: The Binomial (Bernoulli) Distribution

11.2 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 (11.12) and (11.11),


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

In (11.13), 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, (11.12) becomes


Moreover, for k = 0, 1 and 2, (11.15) 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 11.1 and 11.2. We observe that they are the same as in Example 10.1.


Figure 11.1: Probability density function for the binomial distribution

Figure 11.2: Cumulative distribution function for the binomial distribution.
Example 11.1

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...

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