Geometric Distribution Made Simple | Stepwise Approach
Bindeshwar Singh Kushwaha
PostNetwork Academy
Geometric Distribution
- Let a sequence of Bernoulli trials be performed, each with constant probability \(p\) of success and \(q = 1 – p\) of failure.
- Trials are independent, and we continue performing them until the first success occurs.
- Let \(X\) be the number of failures preceding the first success.
- Then \(X\) can take values \(0, 1, 2, 3, \ldots\)
Probability of Failures before First Success
- \( P(X = 0) = P(\text{zero failure preceding the first success}) = P(S) = p \)
- \( P(X = 1) = P(\text{one failure preceding the first success}) = P(F \cap S) = qp \)
- \( P(X = 2) = P(\text{two failures preceding the first success}) = P(F \cap F \cap S) = q^2p \)
- And so on…
General Form
- Therefore, in general, the probability of \(x\) failures preceding the first success is:
\[
P(X = x) = q^x p, \quad x = 0, 1, 2, 3, \ldots
\] - The respective probabilities \(p, qp, q^2p, q^3p, \ldots\) form a geometric progression with common ratio \(q\).
- Hence, this probability distribution is known as the Geometric Distribution.
Definition
- A random variable \(X\) follows geometric distribution if:
\[
P(X = x) =
\begin{cases}
q^x p, & x = 0, 1, 2, \ldots \\
0, & \text{otherwise.}
\end{cases}
\] - The sum of all probabilities is:
\[
\sum_{x=0}^{\infty} q^x p = p(1 + q + q^2 + q^3 + \ldots) = 1.
\]
Example: Geometric Distribution – Die Problem
- An unbiased die is cast until 6 appears.
- Find the probability that it must be cast more than five times.
Step 1: Define Success and Failure
- Probability of success (getting 6): \( p = \frac{1}{6} \)
- Probability of failure: \( q = 1 – p = \frac{5}{6} \)
Step 2: Define Random Variable
- Let \(X =\) number of failures before first success.
- Then:
\[
P(X = x) = q^x p, \quad x = 0, 1, 2, \dots
\]
Step 3: Desired Probability
- We want \(P(\text{Die is cast more than 5 times}) = P(X \ge 5)\)
Step 4: Express as a Series
- \[
P(X \ge 5) = P(X = 5) + P(X = 6) + \dots
\] - Substitute:
\[
= \left(\frac{5}{6}\right)^5 \left(\frac{1}{6}\right)
\left[1 + \frac{5}{6} + \left(\frac{5}{6}\right)^2 + \dots \right]
\]
Step 5: Simplify Using Geometric Series
- Infinite geometric series:
\[
1 + r + r^2 + \dots = \frac{1}{1 – r}, \quad |r| < 1
\] - Here \(r = \frac{5}{6}\).
- Hence:
\[
= \left(\frac{5}{6}\right)^5 \left(\frac{1}{6}\right)
\left(\frac{1}{1 – \frac{5}{6}}\right)
\]
Step 6: Final Simplification
- Simplifying:
\[
= \left(\frac{5}{6}\right)^5
\] - Hence, the probability that the die must be cast more than five times is:
\[
\boxed{\left(\frac{5}{6}\right)^5}
\]
Mean of the Geometric Distribution
- Mean:
\[
E(X) = \sum_{x=0}^{\infty} x q^x p = p \sum_{x=1}^{\infty} x q^{x-1}
\]
Final Result
- \[
E(X) = \frac{q}{p}, \quad V(X) = \frac{q}{p^2}
\]
Remark 1: Geometric Distribution
- Variance \(= \dfrac{q}{p^2} = \dfrac{\text{Mean}}{p}\)
- \(\Rightarrow\) Variance \(>\) Mean since \(p < 1\)
- Hence, unlike the binomial distribution, variance of geometric distribution is greater than the mean.
Example 2: Comment on the Following
- The mean and variance of a geometric distribution are 4 and 3 respectively.
Solution
- Mean \(= \frac{q}{p} = 4\), Variance \(= \frac{q}{p^2} = 3\)
- \(\Rightarrow \frac{1}{p} = \frac{3}{4}\)
- \(\Rightarrow p = \frac{4}{3}\), which is impossible.
- Hence, the given statement is wrong.
Video
Reach PostNetwork Academy
Website: www.postnetwork.co
YouTube: www.youtube.com/@postnetworkacademy
Facebook: www.facebook.com/postnetworkacademy
LinkedIn: www.linkedin.com/company/postnetworkacademy
GitHub: www.github.com/postnetworkacademy
Thank You!