Uniform Distribution PDF:
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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).
The calculator uses the uniform distribution PDF formula:
Where:
Explanation: The PDF is constant between a and b, and zero elsewhere. The area under the curve always equals 1.
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.
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.
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.