(b) n=1, p=0.56, X=0 P(X) = [ Xx ←

MATLAB: An Introduction with Applications
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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.
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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