A Manufacturer knows that their items have a normally distributed length, with a mean of 15.1 inches, and standard deviation of 4.4 inches. If one item is chosen at random, what is the probability that it is less than 14.6 inches long? ( Give answer to 4 decimal places)
A Manufacturer knows that their items have a normally distributed length, with a mean of 15.1 inches, and standard deviation of 4.4 inches. If one item is chosen at random, what is the probability that it is less than 14.6 inches long? ( Give answer to 4 decimal places)
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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![### Understanding Normal Distributions: A Practical Example
In this example, we will examine a scenario where a manufacturer knows that the length of their items follows a normal distribution.
**Scenario Description:**
- **Mean (μ)**: 15.1 inches
- **Standard Deviation (σ)**: 4.4 inches
The manufacturer wants to know the probability that a randomly chosen item is shorter than 14.6 inches.
**Question:**
If one item is chosen at random, what is the probability that it is less than 14.6 inches long? (Provide your answer to four decimal places).
### Step-by-Step Solution:
1. **Identify the Z-Score:**
To find the probability, we first need to convert the length (14.6 inches) to a Z-score.
The formula for the Z-score is:
\[
Z = \frac{X - \mu}{\sigma}
\]
Where:
- \(X\) is the value for which we are finding the Z-score (14.6 inches).
- \(\mu\) is the mean (15.1 inches).
- \(\sigma\) is the standard deviation (4.4 inches).
2. **Calculate the Z-Score:**
\[
Z = \frac{14.6 - 15.1}{4.4} = \frac{-0.5}{4.4} \approx -0.1136
\]
3. **Find the Probability:**
Using a standard normal distribution table or a calculator, we find the probability corresponding to the Z-score of -0.1136.
The probability (P) that a Z-score will be less than -0.1136 is approximately 0.4549.
### Conclusion:
Thus, the probability that a randomly chosen item is less than 14.6 inches long is **0.4549**.
This example illustrates how understanding the properties of the normal distribution allows you to calculate probabilities for different values effectively.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd5176b0c-078c-4393-8a73-67cd4f62d79f%2F5945e062-53cb-4c41-a88d-f96f1637eec1%2F8v0mfu_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Understanding Normal Distributions: A Practical Example
In this example, we will examine a scenario where a manufacturer knows that the length of their items follows a normal distribution.
**Scenario Description:**
- **Mean (μ)**: 15.1 inches
- **Standard Deviation (σ)**: 4.4 inches
The manufacturer wants to know the probability that a randomly chosen item is shorter than 14.6 inches.
**Question:**
If one item is chosen at random, what is the probability that it is less than 14.6 inches long? (Provide your answer to four decimal places).
### Step-by-Step Solution:
1. **Identify the Z-Score:**
To find the probability, we first need to convert the length (14.6 inches) to a Z-score.
The formula for the Z-score is:
\[
Z = \frac{X - \mu}{\sigma}
\]
Where:
- \(X\) is the value for which we are finding the Z-score (14.6 inches).
- \(\mu\) is the mean (15.1 inches).
- \(\sigma\) is the standard deviation (4.4 inches).
2. **Calculate the Z-Score:**
\[
Z = \frac{14.6 - 15.1}{4.4} = \frac{-0.5}{4.4} \approx -0.1136
\]
3. **Find the Probability:**
Using a standard normal distribution table or a calculator, we find the probability corresponding to the Z-score of -0.1136.
The probability (P) that a Z-score will be less than -0.1136 is approximately 0.4549.
### Conclusion:
Thus, the probability that a randomly chosen item is less than 14.6 inches long is **0.4549**.
This example illustrates how understanding the properties of the normal distribution allows you to calculate probabilities for different values effectively.
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