Probability of Happening at Least One Independent Event
Data Science and A.I. Lecture Series
By: Bindeshwar Singh Kushwaha
Institute: PostNetwork Academy
1. Probability of Happening at Least One Independent Event
- If \( A \) and \( B \) are independent events, the probability of happening at least one of the events is:
\[
P(A \cup B) = 1 – P((A \cup B)^c)
\] - Using De Morgan’s law:
\[
P(A \cup B) = 1 – P(A^c \cap B^c)
\] - Since \( A \) and \( B \) are independent, \( A^c \) and \( B^c \) are also independent:
\[
P(A^c \cap B^c) = P(A^c) \cdot P(B^c)
\] - Therefore:
\[
P(A \cup B) = 1 – \big(P(A^c) \cdot P(B^c)\big)
\] - For \( n \) independent events \( A_1, A_2, \dots, A_n \):
\[
P(A_1 \cup A_2 \cup \dots \cup A_n) = 1 – \prod_{i=1}^n P(A_i^c)
\] - This is equivalent to \( 1 – \) probability of none of the events occurring.
2. Example: Probability the Target is Hit
Problem:
- A person is known to hit the target in 4 out of 5 shots.
- Another person is known to hit the target in 2 out of 3 shots.
- Find the probability that the target is hit when both try.
Solution:
- Let \( A \): First person hits the target. \( P(A) = \frac{4}{5} \).
- Let \( B \): Second person hits the target. \( P(B) = \frac{2}{3} \).
- The probability of at least one hitting the target is:
\[
P(A \cup B) = 1 – P(A^c \cap B^c)
\] - Compute \( P(A^c) \) and \( P(B^c) \):
\[
P(A^c) = 1 – \frac{4}{5} = \frac{1}{5}, \quad P(B^c) = 1 – \frac{2}{3} = \frac{1}{3}
\] - Calculate \( P(A^c \cap B^c) \):
\[
P(A^c \cap B^c) = P(A^c) \cdot P(B^c) = \frac{1}{5} \cdot \frac{1}{3} = \frac{1}{15}
\] - Substitute into the formula:
\[
P(A \cup B) = 1 – \frac{1}{15} = \frac{14}{15}
\] - The probability that the target is hit is \( \frac{14}{15} \).
Video
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