Mathematics · Statistics

Continuous-Uniform Standard Deviation Calculator

Calculate uniform standard deviation from support range width and square root of twelve.

Runs locally
Your numbers

Inputs and results stay in this browser. Change one value at a time to explore the relationship.

Your inputCalculatedPassed forward in chains
uniform standard deviation2.309401

Calculation steps

  1. Use c=a/b with support range width=8 and square root of twelve=3.4641016151377544.
  2. uniform standard deviation=2.3094010767585034.

Understand Continuous-Uniform Standard Deviation

One idea, three depths

Choose how deeply to explain Continuous-Uniform Standard Deviation

Continuous-Uniform Standard Deviation: Calculate uniform standard deviation from support range width and square root of twelve.

Age 5Explain it to a 5-year-oldStart with a picture

Imagine using Continuous-Uniform Standard Deviation to answer this question: calculate uniform standard deviation from support range width and square root of twelve? Enter support range width and square root of twelve; the calculator shows uniform standard deviation. For example: support range width=8 and square root of twelve=3.4641016151377544 produce uniform standard deviation=2.3094010767585034. The answer tells you uniform standard deviation.

Age 15Explain it to a 15-year-oldConnect it to the formula

A continuous uniform distribution has standard deviation equal to its range divided by square root twelve. This page evaluates the relationship directly. The rule is c=a/b. Its input values are support range width, square root of twelve, and the main result is uniform standard deviation. For example: support range width=8 and square root of twelve=3.4641016151377544 produce uniform standard deviation=2.3094010767585034.

CollegeExplain it at college levelState the model precisely

This calculator evaluates the stated continuous-uniform standard deviation relation over the valid real-number domain stated below. The implemented relation is c=a/b, evaluated from support range width, square root of twelve to produce uniform standard deviation. A continuous uniform distribution has standard deviation equal to its range divided by square root twelve. This page evaluates the relationship directly. Use the full endpoint range, not a half-width.

Inputs and valid domain

  • support range width must be a finite real number.
  • square root of twelve must be a finite real number.

Important boundary: Use the full endpoint range, not a half-width.

The formula

c=a/b

How the calculator works through it

It substitutes support range width, square root of twelve into the formula and exposes every numerical step above. The main output is uniform standard deviation.

Read the result correctly

The uniform standard deviation is the direct answer to “calculate uniform standard deviation from support range width and square root of twelve.” Read it with the units shown beside the inputs; a sign, angle, percentage or rate changes what the number means.

A worked check

support range width=8 and square root of twelve=3.4641016151377544 produce uniform standard deviation=2.3094010767585034.

Where this model stops being reliable

Use the full endpoint range, not a half-width.

Learn it by changing one value

Begin with the worked example, then change one value while keeping the others fixed. Compare the new result and calculation steps to identify which part of the formula changed.

Dictionary terms behind this calculator

Before studying the codeWhat you should know firstUse the calculator immediately, or check the foundations before reading the implementation.

These foundations help you understand why Continuous-Uniform Standard Deviation works. They never block the calculator, and “optional” means useful context rather than a hidden requirement.

Hard requirements

  • Reading formulas and substituting values

    Continuous-Uniform Standard Deviation uses c=a/b. You need to recognise what each side represents before substituting the stated inputs or rearranging the relationship.

    Review this foundation about 4 min

Strong support

  • Averages and representative values

    Representative values help you judge what the Continuous-Uniform Standard Deviation inputs summarise and what the result can legitimately describe.

    Review this foundation about 5 min

Optional enrichment

  • Spread and measurement variation

    Variation is not always part of the Continuous-Uniform Standard Deviation formula, but it helps you judge how stable a reported result may be.

    Review this foundation about 6 min
Learn the missing foundationsI already know these — show the code

Mathematics → algorithm → program

Implement this calculation in code

These are direct reference implementations of the calculator's principal relationship and first output. They run locally and include a small known-answer check where the language supports it.

Algorithm

  1. Read support range width, square root of twelve.
  2. Evaluate the principal relationship: c=a/b.
  3. Return uniform standard deviation and check the domain conditions described above.
Python
            from math import *

def uniform_distribution_standard_deviation_calculator(a, b) -> float:
    return (a / b)

assert abs(uniform_distribution_standard_deviation_calculator(8, 3.4641016151377544) - 2.3094010767585034) < 1e-6 * max(1.0, abs(2.3094010767585034))
          
Current calculator valuesUpdates when you change an input above.
              
            
C
            #include <assert.h>
#include <math.h>

double uniform_distribution_standard_deviation_calculator(double a, double b) {
    return (a / b);
}

int main(void) {
    const double expected = 2.3094010767585034;
    const double actual = uniform_distribution_standard_deviation_calculator(8, 3.4641016151377544);
    assert(fabs(actual - expected) < 1e-6 * fmax(1.0, fabs(expected)));
}
          
Current calculator valuesUpdates when you change an input above.
              
            
C++
            #include <cassert>
#include <cmath>
#include <numbers>

double uniform_distribution_standard_deviation_calculator(double a, double b) {
    return (a / b);
}

int main() {
    constexpr double expected = 2.3094010767585034;
    const double actual = uniform_distribution_standard_deviation_calculator(8, 3.4641016151377544);
    assert(std::fabs(actual - expected) < 1e-6 * std::fmax(1.0, std::fabs(expected)));
}
          
Current calculator valuesUpdates when you change an input above.
              
            
Linux x86-64 assembly

x86-64 NASM · System V ABI · Linux · SSE2 with libm where required

            ; double uniform_distribution_standard_deviation_calculator(double a, double b)
; Linux x86-64 NASM · System V ABI · first eight doubles in xmm0–xmm7
global uniform_distribution_standard_deviation_calculator
section .text

uniform_distribution_standard_deviation_calculator:
    push rbp
    mov rbp, rsp
    sub rsp, 32
    movsd [rbp-8], xmm0
    movsd [rbp-16], xmm1
    movsd xmm0, [rbp-8]
    divsd xmm0, [rbp-16]
    movsd [rbp-24], xmm0
    movsd xmm0, [rbp-24]
    leave
    ret
          
Current calculator valuesUpdates when you change an input above.
              
            
MATLAB
            function result = uniform_distribution_standard_deviation_calculator(a, b)
    result = (a / b);
end
          
Current calculator valuesUpdates when you change an input above.
              
            
Wolfram Language
            ClearAll[mwCalculate];
mwCalculate[a_, b_] := (a / b);
          
Current calculator valuesUpdates when you change an input above.
              
            

Continue in mathematical software

The downloaded file includes your current inputs and first calculated result. It is created locally.

Floating-point answers can differ slightly by language, compiler and processor. Compare within a suitable tolerance rather than assuming every decimal representation will be identical.

Supporting sourcesAcademic referencesPrimary standards, textbooks and complete citations

Standards, reading and academic references

Use the calculator as the worked interaction, then consult the primary standards and academic textbooks listed below. MW SysArc links to the original sources; the explanation on this page is original and does not reproduce them.

Introductory Statistics 2e

Read the free OpenStax statistics textbook
Cite this book
APA 7
Illowsky, B., & Dean, S. (2023). Introductory statistics 2e. OpenStax. https://openstax.org/books/introductory-statistics-2e/pages/1-introduction
MLA 9
Illowsky, Barbara, and Susan Dean. Introductory Statistics 2e. OpenStax, 2023, https://openstax.org/books/introductory-statistics-2e/pages/1-introduction.
Chicago author-date
Illowsky, Barbara, and Susan Dean. 2023. Introductory Statistics 2e. Houston, TX: OpenStax. https://openstax.org/books/introductory-statistics-2e/pages/1-introduction.

OpenStax entries are free to read online. Follow the licence shown on each linked source before redistributing or adapting its content.

Reuse the page responsiblyCite this pageAPA, MLA, Chicago, Harvard, BibTeX and RIS

These formats cite this calculator page itself. They are separate from the academic references above, which support the mathematical method and terminology.

APA 7

MW SysArc. (2026, July 21). Continuous-Uniform Standard Deviation Calculator. MW SysArc Tools. https://math.mwsysarc.com/statistics/uniform-distribution-standard-deviation-calculator

MLA 9

MW SysArc. “Continuous-Uniform Standard Deviation Calculator.” MW SysArc Tools, 21 July 2026, https://math.mwsysarc.com/statistics/uniform-distribution-standard-deviation-calculator. Accessed 31 Aug. 2026.

Chicago 17

MW SysArc. “Continuous-Uniform Standard Deviation Calculator.” MW SysArc Tools. Published July 21, 2026. Accessed August 31, 2026. https://math.mwsysarc.com/statistics/uniform-distribution-standard-deviation-calculator.

Harvard

MW SysArc (2026) ‘Continuous-Uniform Standard Deviation Calculator’, MW SysArc Tools. Published 21 July 2026. Available at: https://math.mwsysarc.com/statistics/uniform-distribution-standard-deviation-calculator (Accessed: 31 August 2026).

BibTeX and RIS records

BibTeX

@misc{mwsysarc_uniform_distribution_standard_deviation_calculator_2026,
  author = {{MW SysArc}},
  title = {Continuous-Uniform Standard Deviation Calculator},
  howpublished = {MW SysArc Tools},
  year = {2026},
  url = {https://math.mwsysarc.com/statistics/uniform-distribution-standard-deviation-calculator},
  note = {Published July 21, 2026; accessed August 31, 2026}
}

RIS

TY  - ELEC
AU  - MW SysArc
TI  - Continuous-Uniform Standard Deviation Calculator
T2  - MW SysArc Tools
PY  - 2026
DA  - 2026-07-21
Y2  - 2026-08-31
UR  - https://math.mwsysarc.com/statistics/uniform-distribution-standard-deviation-calculator
N1  - Published July 21, 2026
ER  -

Clear answers

Frequently asked questions

What does the Continuous-Uniform Standard Deviation do?

Calculate uniform standard deviation from support range width and square root of twelve.

How does the Continuous-Uniform Standard Deviation work?

The calculator applies c=a/b. A continuous uniform distribution has standard deviation equal to its range divided by square root twelve. This page evaluates the relationship directly.

What can I learn from the Continuous-Uniform Standard Deviation?

It connects the mathematical rule to your chosen numbers and shows each calculation step. Change one input at a time to see how the result responds.

Does MW SysArc receive or store what I enter?

No. The calculation runs locally in your browser. MW SysArc does not receive or store your calculation inputs.

How should I use the result?

Use the steps to understand the method, then verify important school or professional work using the notation and rounding rules required in your setting.

Last reviewed . Calculations tested .

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