Last updated on June 25th, 2025
Calculators are reliable tools for solving simple mathematical problems and advanced calculations like trigonometry. Whether you’re cooking, tracking BMI, or planning a construction project, calculators will make your life easy. In this topic, we are going to talk about uniform distribution calculators.
A uniform distribution calculator is a tool used to determine probabilities and statistics related to a uniform distribution. In a uniform distribution, all outcomes are equally likely within a given range. This calculator simplifies the process of calculating probabilities, mean, variance, and other statistics, saving time and effort.
Given below is a step-by-step process on how to use the calculator:
Step 1: Enter the minimum and maximum values: Input the range of values for the uniform distribution.
Step 2: Specify the desired calculation: Choose whether you want to find probabilities, mean, or variance.
Step 3: Click on calculate: Click on the calculate button to perform the calculation and get the result.
Step 4: View the result: The calculator will display the result instantly.
To calculate statistics for a uniform distribution, there are simple formulas used by the calculator. In a uniform distribution between values a and b:
Mean (µ) = (a + b) ÷ 2
Variance (σ²) = (b − a)² ÷ 12
For probabilities of being within a range [c, d]:
Probability = (d − c) ÷ (b − a)
These formulas help in calculating the desired statistics quickly and accurately.
When using a uniform distribution calculator, there are a few tips and tricks to make it easier and avoid mistakes:
- Ensure the range \([a, b]\) is correctly specified, as it defines the entire distribution.
- Be clear about the calculation you wish to perform, whether it’s probabilities, mean, or variance.
- Double-check the input values for accuracy, especially in real-life applications where precision matters.
While using a calculator, mistakes can happen. Avoid these common errors to ensure accurate results.
What is the mean and variance of a uniform distribution from 5 to 15?
Use the formulas:
Mean (µ) = (a + b) ÷ 2
Variance (σ²) = (b − a)² ÷ 12
Mean = (5 + 15) ÷ 2 = 10
Variance = (15 − 5)² ÷ 12 = 100 ÷ 12 ≈ 8.33
The mean of the distribution is the midpoint, and the variance is calculated using the range squared, divided by 12.
Calculate the probability of randomly selecting a number between 8 and 12 from a uniform distribution between 5 and 15.
Use the formula for probability:
Probability = (d − c) ÷ (b − a)
Probability = (12 − 8) ÷ (15 − 5) = 4 ÷ 10 = 0.4
The probability is calculated by dividing the length of the desired range by the total range of the distribution.
Find the mean and variance for a uniform distribution ranging from 0 to 20.
Use the formulas:
Mean (µ) = (a + b) ÷ 2
Variance (σ²) = (b − a)² ÷ 12
Mean = (0 + 20) ÷ 2 = 10
Variance = (20 − 0)² ÷ 12 = 400 ÷ 12 ≈ 33.33
The mean is the center of the range, and the variance is derived from the range squared, divided by 12.
What's the probability of selecting a number between 6 and 18 from a uniform distribution between 5 and 20?
Use the formula for probability:
Probability = (d − c) ÷ (b − a)
Probability = (18 − 6) ÷ (20 − 5) = 12 ÷ 15 = 0.8
The probability is determined by dividing the desired range by the total range, giving 0.8 or 80%.
Determine the mean and variance for a uniform distribution from 10 to 30.
Use the formulas:
Mean (µ) = (a + b) ÷ 2
Variance (σ²) = (b − a)² ÷ 12
Mean = (10 + 30) ÷ 2 = 20
Variance = (30 − 10)² ÷ 12 = 400 ÷ 12 ≈ 33.33
The mean is the average of the endpoints, and the variance uses the range squared, divided by 12.
Uniform Distribution: A distribution where all outcomes are equally likely within a given range.
Mean: The average value calculated as (a + b) ÷ 2 for a uniform distribution.
Variance: A measure of dispersion calculated as (b − a)² ÷ 12 in a uniform distribution.
Probability: The likelihood of an outcome occurring within a specified range, calculated as (d − c) ÷ (b − a).
Range: The interval from the minimum value a to the maximum value b within which the distribution is defined.
Seyed Ali Fathima S a math expert with nearly 5 years of experience as a math teacher. From an engineer to a math teacher, shows her passion for math and teaching. She is a calculator queen, who loves tables and she turns tables to puzzles and songs.
: She has songs for each table which helps her to remember the tables