Mathematics · Statistics

Lognormal Geometric Standard Deviation underlying normal scale sigma Solver

Rearrange the lognormal geometric standard deviation relationship and solve for underlying normal scale sigma.

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
underlying normal scale sigma0.6
Reconstructed geometric standard deviation1.822119

Calculation steps

  1. Use b=ln(c/a) with geometric standard deviation=1.8221188003905089 and unit positive scale=1.
  2. underlying normal scale sigma=0.6.
  3. Substitution into c=ae^b reconstructs 1.8221188003905089.

Understand Lognormal Geometric Standard Deviation: solve underlying normal scale sigma

One idea, three depths

Choose how deeply to explain Lognormal Geometric Standard Deviation: solve underlying normal scale sigma

Lognormal Geometric Standard Deviation: solve underlying normal scale sigma: Rearrange the lognormal geometric standard deviation relationship and solve for underlying normal scale sigma.

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

Imagine using Lognormal Geometric Standard Deviation: solve underlying normal scale sigma to answer this question: rearrange the lognormal geometric standard deviation relationship and solve for underlying normal scale sigma? Enter geometric standard deviation and unit positive scale; the calculator shows underlying normal scale sigma. For example: unit positive scale=1 and underlying normal scale sigma=0.6 produce geometric standard deviation=1.8221188003905089. The answer tells you underlying normal scale sigma.

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

Lognormal geometric standard deviation is exp of the underlying normal standard deviation. This page isolates underlying normal scale sigma and verifies it in the original relationship. The rule is b=ln(c/a). Its input values are geometric standard deviation, unit positive scale, and the main result is underlying normal scale sigma. For example: unit positive scale=1 and underlying normal scale sigma=0.6 produce geometric standard deviation=1.8221188003905089.

CollegeExplain it at college levelState the model precisely

This calculator evaluates the stated lognormal geometric standard deviation: solve underlying normal scale sigma relation over the valid real-number domain stated below. The implemented relation is b=ln(c/a), evaluated from geometric standard deviation, unit positive scale to produce underlying normal scale sigma. Lognormal geometric standard deviation is exp of the underlying normal standard deviation. This page isolates underlying normal scale sigma and verifies it in the original relationship. This multiplicative spread factor is not the arithmetic standard deviation.

Inputs and valid domain

  • geometric standard deviation must be a finite real number.
  • unit positive scale must be a finite real number.

Important boundary: This multiplicative spread factor is not the arithmetic standard deviation.

The formula

b=ln(c/a)

How the calculator works through it

It substitutes geometric standard deviation, unit positive scale into the formula and exposes every numerical step above. The main output is underlying normal scale sigma, accompanied by Reconstructed geometric standard deviation.

Read the result correctly

The underlying normal scale sigma is the direct answer to “rearrange the lognormal geometric standard deviation relationship and solve for underlying normal scale sigma.” Read it with the units shown beside the inputs; a sign, angle, percentage or rate changes what the number means.

A worked check

unit positive scale=1 and underlying normal scale sigma=0.6 produce geometric standard deviation=1.8221188003905089.

Where this model stops being reliable

This multiplicative spread factor is not the arithmetic standard deviation.

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 Lognormal Geometric Standard Deviation: solve underlying normal scale sigma works. They never block the calculator, and “optional” means useful context rather than a hidden requirement.

Hard requirements

  • Reading formulas and substituting values

    Lognormal Geometric Standard Deviation: solve underlying normal scale sigma uses b=ln(c/a). 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 Lognormal Geometric Standard Deviation: solve underlying normal scale sigma 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 Lognormal Geometric Standard Deviation: solve underlying normal scale sigma 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 geometric standard deviation, unit positive scale.
  2. Evaluate the principal relationship: b=ln(c/a).
  3. Return underlying normal scale sigma and check the domain conditions described above.
Python
            from math import *

def lognormal_geometric_standard_deviation_solve_b(c, a) -> float:
    return log((c / a))

assert abs(lognormal_geometric_standard_deviation_solve_b(1.8221188003905089, 1) - 0.6) < 1e-6 * max(1.0, abs(0.6))
          
Current calculator valuesUpdates when you change an input above.
              
            
C
            #include <assert.h>
#include <math.h>

double lognormal_geometric_standard_deviation_solve_b(double c, double a) {
    return log((c / a));
}

int main(void) {
    const double expected = 0.6;
    const double actual = lognormal_geometric_standard_deviation_solve_b(1.8221188003905089, 1);
    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 lognormal_geometric_standard_deviation_solve_b(double c, double a) {
    return std::log((c / a));
}

int main() {
    constexpr double expected = 0.6;
    const double actual = lognormal_geometric_standard_deviation_solve_b(1.8221188003905089, 1);
    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 lognormal_geometric_standard_deviation_solve_b(double c, double a)
; Linux x86-64 NASM · System V ABI · first eight doubles in xmm0–xmm7
extern log
global lognormal_geometric_standard_deviation_solve_b
section .text

lognormal_geometric_standard_deviation_solve_b:
    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-32], xmm0
    movsd xmm0, [rbp-32]
    call log wrt ..plt
    movsd [rbp-24], xmm0
    movsd xmm0, [rbp-24]
    leave
    ret
          
Current calculator valuesUpdates when you change an input above.
              
            
MATLAB
            function result = lognormal_geometric_standard_deviation_solve_b(c, a)
    result = log((c / a));
end
          
Current calculator valuesUpdates when you change an input above.
              
            
Wolfram Language
            ClearAll[mwCalculate];
mwCalculate[c_, a_] := Log[(c / a)];
          
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). Lognormal Geometric Standard Deviation underlying normal scale sigma Solver. MW SysArc Tools. https://math.mwsysarc.com/statistics/lognormal-geometric-standard-deviation-underlying-normal-scale-sigma-solver

MLA 9

MW SysArc. “Lognormal Geometric Standard Deviation underlying normal scale sigma Solver.” MW SysArc Tools, 21 July 2026, https://math.mwsysarc.com/statistics/lognormal-geometric-standard-deviation-underlying-normal-scale-sigma-solver. Accessed 31 Aug. 2026.

Chicago 17

MW SysArc. “Lognormal Geometric Standard Deviation underlying normal scale sigma Solver.” MW SysArc Tools. Published July 21, 2026. Accessed August 31, 2026. https://math.mwsysarc.com/statistics/lognormal-geometric-standard-deviation-underlying-normal-scale-sigma-solver.

Harvard

MW SysArc (2026) ‘Lognormal Geometric Standard Deviation underlying normal scale sigma Solver’, MW SysArc Tools. Published 21 July 2026. Available at: https://math.mwsysarc.com/statistics/lognormal-geometric-standard-deviation-underlying-normal-scale-sigma-solver (Accessed: 31 August 2026).

BibTeX and RIS records

BibTeX

@misc{mwsysarc_lognormal_geometric_standard_deviation_solve_b_2026,
  author = {{MW SysArc}},
  title = {Lognormal Geometric Standard Deviation underlying normal scale sigma Solver},
  howpublished = {MW SysArc Tools},
  year = {2026},
  url = {https://math.mwsysarc.com/statistics/lognormal-geometric-standard-deviation-underlying-normal-scale-sigma-solver},
  note = {Published July 21, 2026; accessed August 31, 2026}
}

RIS

TY  - ELEC
AU  - MW SysArc
TI  - Lognormal Geometric Standard Deviation underlying normal scale sigma Solver
T2  - MW SysArc Tools
PY  - 2026
DA  - 2026-07-21
Y2  - 2026-08-31
UR  - https://math.mwsysarc.com/statistics/lognormal-geometric-standard-deviation-underlying-normal-scale-sigma-solver
N1  - Published July 21, 2026
ER  -

Clear answers

Frequently asked questions

What does the Lognormal Geometric Standard Deviation: solve underlying normal scale sigma do?

Rearrange the lognormal geometric standard deviation relationship and solve for underlying normal scale sigma.

How does the Lognormal Geometric Standard Deviation: solve underlying normal scale sigma work?

The calculator applies b=ln(c/a). Lognormal geometric standard deviation is exp of the underlying normal standard deviation. This page isolates underlying normal scale sigma and verifies it in the original relationship.

What can I learn from the Lognormal Geometric Standard Deviation: solve underlying normal scale sigma?

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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