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Uniform Distribution Calculator Graph

Uniform Distribution PDF:

\[ f(x) = \begin{cases} \frac{1}{b-a} & \text{for } a \leq x \leq b \\ 0 & \text{otherwise} \end{cases} \]

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1. What is Uniform Distribution?

The uniform distribution is a probability distribution where all outcomes are equally likely within a defined range [a, b]. It's characterized by a constant probability density function (PDF).

2. How Does the Calculator Work?

The calculator uses the uniform distribution PDF formula:

\[ f(x) = \begin{cases} \frac{1}{b-a} & \text{for } a \leq x \leq b \\ 0 & \text{otherwise} \end{cases} \]

Where:

Explanation: The PDF is constant between a and b, and zero elsewhere. The area under the curve always equals 1.

3. Importance of Uniform Distribution

Details: Uniform distribution is fundamental in probability theory and statistics, used in random number generation, Monte Carlo methods, and when modeling complete uncertainty within bounds.

4. Using the Calculator

Tips: Enter the lower bound (a) and upper bound (b) values. The calculator will compute the constant PDF value between these bounds. Ensure b > a for valid results.

5. Frequently Asked Questions (FAQ)

Q1: What does the uniform distribution represent?
A: It represents a situation where all values within a range are equally likely to occur.

Q2: What's the difference between discrete and continuous uniform distribution?
A: Discrete uniform has countable outcomes (like dice rolls), while continuous uniform has uncountable outcomes in a range.

Q3: What is the mean of a uniform distribution?
A: The mean is (a + b)/2, the midpoint of the interval.

Q4: What is the variance of a uniform distribution?
A: The variance is (b - a)²/12.

Q5: Where is uniform distribution used in real life?
A: In random number generation, quality control, and when modeling complete uncertainty within known bounds.

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