(b) n=1, p=0.56, X=0 P(X) = [ Xx ←
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
P(X)= ?
![**Binomial Probability Calculation Example**
**Part 2 of 5**
(b) Given:
- \( n = 1 \)
- \( p = 0.56 \)
- \( X = 0 \)
We are tasked to find the probability \( P(X) \).
In this part, you will learn how to calculate the probability of a certain number of successes in a binomial experiment. Here, the number of trials \( n = 1 \), the probability of success in a single trial \( p = 0.56 \), and we are looking for the probability of having 0 successes (\( X = 0 \)).
**To calculate \( P(X) \):**
Since we have \( n = 1 \), we can use the formula for binomial probability:
\[ P(X = x) = \binom{n}{x} p^x (1-p)^{n-x} \]
Substitute the given values into the formula:
\[ P(X = 0) = \binom{1}{0} (0.56)^0 (1-0.56)^{1-0} \]
\[ P(X = 0) = 1 \times 1 \times (0.44) = 0.44 \]
Thus, the probability \( P(X = 0) \) is 0.44.
This basic binomial distribution example illustrates how to find the probability of an event with given parameters.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2b9b7f6a-cd0d-4490-81f2-bf1728b26b7f%2F2b662955-041f-4fe3-8134-61190397a3d4%2Feow312l_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Binomial Probability Calculation Example**
**Part 2 of 5**
(b) Given:
- \( n = 1 \)
- \( p = 0.56 \)
- \( X = 0 \)
We are tasked to find the probability \( P(X) \).
In this part, you will learn how to calculate the probability of a certain number of successes in a binomial experiment. Here, the number of trials \( n = 1 \), the probability of success in a single trial \( p = 0.56 \), and we are looking for the probability of having 0 successes (\( X = 0 \)).
**To calculate \( P(X) \):**
Since we have \( n = 1 \), we can use the formula for binomial probability:
\[ P(X = x) = \binom{n}{x} p^x (1-p)^{n-x} \]
Substitute the given values into the formula:
\[ P(X = 0) = \binom{1}{0} (0.56)^0 (1-0.56)^{1-0} \]
\[ P(X = 0) = 1 \times 1 \times (0.44) = 0.44 \]
Thus, the probability \( P(X = 0) \) is 0.44.
This basic binomial distribution example illustrates how to find the probability of an event with given parameters.
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