The random-number generator on calculators randomly generates a number between 0 and 1. The random variable X, the number generated, follows a uniform probability distribution. (a) Identify the graph of the uniform density function. (b) What is the probability of generating a number between 0.63 and 0.76? (c) What is the probability of generating a number greater than 0.83? ..... (a) Choose the correct graph of the uniform density function below.
The random-number generator on calculators randomly generates a number between 0 and 1. The random variable X, the number generated, follows a uniform probability distribution. (a) Identify the graph of the uniform density function. (b) What is the probability of generating a number between 0.63 and 0.76? (c) What is the probability of generating a number greater than 0.83? ..... (a) Choose the correct graph of the uniform density function below.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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![### Random-Number Generator and Uniform Probability Distribution
The random-number generator on calculators randomly generates a number between 0 and 1. The random variable \(X\), the number generated, follows a uniform probability distribution.
#### Tasks
**(a)** Identify the graph of the uniform density function.
**(b)** Calculate the probability of generating a number between 0.63 and 0.76.
**(c)** Calculate the probability of generating a number greater than 0.83.
#### Explanation of Graphs
There are three graphs labeled A, B, and C, showing potential uniform density functions:
- **Graph A**: Displays a constant density of 1 for \(x\) values between 0 and 1, and 0 elsewhere.
- **Graph B**: Shows a density function with a constant value of 0.8, which is incorrect for a uniform distribution from 0 to 1.
- **Graph C**: Displays a density function constant at 0.5, which is incorrect for the described distribution.
**Selecting the Correct Graph:**
For a uniform distribution between 0 and 1, the graph should have a constant density of 1 over this range, making **Graph A** the correct choice.
#### Probability Calculations
**(b)** Calculate the probability of generating a number between 0.63 and 0.76.
- Probability = (0.76 - 0.63) = 0.13
**(c)** Calculate the probability of generating a number greater than 0.83.
- Probability = (1 - 0.83) = 0.17
These calculations are based on the properties of a uniform distribution, where the probability is equivalent to the length of the interval within the given range [0, 1].](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2f1709b6-d6cf-4974-9d61-8af289333b8d%2Ff03e4310-460d-4eb5-aeeb-e6c7d748e135%2Fcmt9n3_processed.png&w=3840&q=75)
Transcribed Image Text:### Random-Number Generator and Uniform Probability Distribution
The random-number generator on calculators randomly generates a number between 0 and 1. The random variable \(X\), the number generated, follows a uniform probability distribution.
#### Tasks
**(a)** Identify the graph of the uniform density function.
**(b)** Calculate the probability of generating a number between 0.63 and 0.76.
**(c)** Calculate the probability of generating a number greater than 0.83.
#### Explanation of Graphs
There are three graphs labeled A, B, and C, showing potential uniform density functions:
- **Graph A**: Displays a constant density of 1 for \(x\) values between 0 and 1, and 0 elsewhere.
- **Graph B**: Shows a density function with a constant value of 0.8, which is incorrect for a uniform distribution from 0 to 1.
- **Graph C**: Displays a density function constant at 0.5, which is incorrect for the described distribution.
**Selecting the Correct Graph:**
For a uniform distribution between 0 and 1, the graph should have a constant density of 1 over this range, making **Graph A** the correct choice.
#### Probability Calculations
**(b)** Calculate the probability of generating a number between 0.63 and 0.76.
- Probability = (0.76 - 0.63) = 0.13
**(c)** Calculate the probability of generating a number greater than 0.83.
- Probability = (1 - 0.83) = 0.17
These calculations are based on the properties of a uniform distribution, where the probability is equivalent to the length of the interval within the given range [0, 1].
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