Online statistics and data analysis support for USA, UK and international clients. No exams, no impersonation, no fabricated data.
Statistical calculators/Statistical Significance Calculator

Core Statistical Calculators

Statistical Significance Test Statistical Calculator

Statistical Significance Calculator determine statistical significance for A/B proportions, two independent means, paired mean changes, or one mean, with p-values, confidence intervals, effect sizes, lift, power, and decisions. Use the tabbed test workspace below for data, variables, analysis, visualizations, results, interpretation and reporting.

Method-specific engine Visual output Local processing

Quick method summary

The Statistical Significance Test Statistical Calculator calculates the named method using calculator-specific formulas and reports auditable results, warnings, and interpretation. It uses the calculator-specific formula and reports the intermediate values, final result, warnings, and interpretation.

Core Statistical Calculators

Statistical Significance Calculator

Determine statistical significance for A/B proportions, two independent means, paired mean changes, or one mean, with p-values, confidence intervals, effect sizes, lift, power, and decisions.

Inputs

Calculated result

Calculation method

Determine statistical significance for A/B proportions, two independent means, paired mean changes, or one mean, with p-values, confidence intervals, effect sizes, lift, power, and decisions.

Formula

The calculator applies a pooled two-proportion z test, Welch t test, paired t summary test, or one-sample t test according to the selected design.

Assumptions and limits

The selected design, data type, independence or pairing, missing-data handling, sample-size conditions, and model assumptions must match the research question.

Formula review

Formula, input validation, output contract, and independent control cases reviewed 2026-08-02; study-design assumptions remain visible to the user.

Statistical Significance Calculator method, assumptions and reporting guideComplete selected-test explanation, assumptions, formula and reporting details

Data and Input Requirements

For the Statistical Significance Test Statistical Calculator, use summary inputs or upload raw data, review the cleaning report, then select the method-valid variables for Statistical Significance Calculator. For Statistical Significance Calculator, map Significance design, Conversions A, Visitors / sample size A, Conversions B, Visitors / sample size B, Mean A from the cleaned browser-local table; every mapped variable remains editable before calculation, and the active dataset remains available while you work with this selected test and when you return to the Test Finder.

This method uses direct method-specific values, so a raw-data upload panel is intentionally omitted.

Statistical Significance Calculator Workspace Features

  • Dedicated Statistical Significance Calculator variable mapping, calculation contract, result explanation, and diagnostics
  • Manual inputs plus browser-local XLSX, CSV, or TSV analysis for this exact statistical method
  • Auditable cleaning report before method-valid variable dropdowns are created
  • Calculator-specific formulas, intermediate quantities, assumptions, warnings, and interpretation
  • Responsive method-specific charts generated from the selected cleaned data
  • Copy, result CSV, cleaned-data CSV, chart PNG, and result-only print controls
  • Protected canonical URL, focused FAQs, and a dedicated selected-test workspace

About the Statistical Significance Calculator

Determine statistical significance for A/B proportions, two independent means, paired mean changes, or one mean, with p-values, confidence intervals, effect sizes, lift, power, and decisions. This calculator applies the displayed method to the requested inputs and reports the intermediate values used in the result.

When to Use the Statistical Significance Calculator

Use the Statistical Significance Test Statistical Calculator when your research question, variable types, and sampling or experimental design require statistical significance. Do not select it only because the data produce a convenient p-value or familiar output.

How the Statistical Significance Calculator Works

The calculator applies a pooled two-proportion z test, Welch t test, paired t summary test, or one-sample t test according to the selected design.

The calculation runs in the browser. Submitted values are validated for required numeric ranges, data shape, units and method-specific restrictions before results are shown.

Assumptions and Checks

  • Select the exact design and statistic before entering or mapping data.
  • Check sample size, independence or pairing, measurement levels, distributional conditions, and coding required by the chosen mode.
  • Use the displayed warnings and method-specific alternative when approximation conditions are not met.

Required Inputs

  • Significance design (required) Options: A/B conversion rates, Two independent means, Paired mean change, One mean vs null
  • Conversions A (required)
  • Visitors / sample size A (required)
  • Conversions B (required)
  • Visitors / sample size B (required)
  • Mean A (required)
  • SD A (required)
  • Mean B (required)
  • SD B (required)
  • Mean paired difference (required)
  • SD of paired differences (required)
  • Number of pairs (required)
  • Sample mean (required)
  • Sample SD (required)
  • Sample size (required)
  • Null value / mean (required)
  • Alpha (required)
  • Alternative (required) Options: Two-tailed, A / change is greater, A / change is less

Results Reported

The result workspace shows the final answer and intermediate quantities needed to audit the calculation. Depending on the method, reported values include:

  • Mode mode
  • Estimate A estimate_a
  • Estimate B Or Null estimate_b_or_null
  • Difference difference
  • Relative Lift relative_lift
  • Test Statistic test_statistic
  • Degrees Of Freedom degrees_of_freedom
  • P Value p_value
  • Confidence Interval confidence_interval
  • Effect Size effect_size
  • Observed Power observed_power
  • Decision decision

Statistical Significance Calculator Worked Example

Use the example data button, calculate, then review the result table, formula, and worked solution before using the answer.

InputExample value
Significance designab_proportions
Conversions A64
Visitors / sample size A120
Conversions B48
Visitors / sample size B110
Mean A105
SD A15
Mean B100
SD B12
Mean paired difference2.4
SD of paired differences4.8
Number of pairs40
Sample mean72.4
Sample SD8.1
Sample size36
Null value / mean70
Alpha0.05
Alternativetwo

Verified Worked Result

The packaged automated fixture produces the following checked values from the example inputs. Display rounding can differ from the full-precision browser result.

ResultVerified value
Difference0.096969696969697
Relative Lift0.22222222222222
Test Statistic1.4697277935789
P Value0.14163556824617
Effect Size0.1943350060016

How to Use This Workspace

  1. Confirm that the method matches the quantity, hypothesis, model or planning question you need to solve.
  2. Enter values with compatible units and the requested sample, group, matrix, count, date or option format.
  3. Use Example Data to inspect a valid input layout, or enter your own values and run the calculation.
  4. Review the result table, formula, substitutions, warnings and interpretation rather than relying only on the headline number.
  5. Copy, download or print the result when you need a reusable analysis record.

Understanding and Reporting the Result

Review Mode, Estimate A, Estimate B Or Null, Difference, Relative Lift, Test Statistic, Degrees Of Freedom, P Value, Confidence Interval, and Effect Size. Use the displayed assumptions, warnings, and interpretation before reporting the result. In the Statistical Significance Calculator result workspace, interpret mode, estimate_a, estimate_b_or_null, difference, relative_lift, test_statistic together with the method assumptions, warning messages, confidence information, effect magnitude, and diagnostic plots shown for the selected variables.

Review the formula, units, assumptions, and result interpretation before using the calculation.

Keep the entered values, units, selected options and any warning shown beside the result. For a hypothesis test, report the statistic, degrees of freedom where applicable, p-value, alpha level, effect size and decision. For an estimate or conversion, report the formula convention and final unit.

How to Report the Result

When reporting results from the Statistical Significance Test Statistical Calculator, identify the design and software, state the valid sample size and exclusions, then report Mode, Estimate A, Estimate B Or Null, Difference, Relative Lift, Test Statistic, Degrees Of Freedom, P Value. Include the selected alpha level, tail, coding, and assumption decisions when they apply. A reproducible Statistical Significance Calculator report should identify the mapped variables, valid observations, exclusions or missing-data handling, selected options, principal outputs, uncertainty, diagnostics, and the practical conclusion supported by the analysis.

Accuracy and Limitations

The calculator keeps full browser precision during calculation and rounds only for display. Accuracy still depends on correct inputs and on whether the displayed model represents the real problem. Educational calculators cannot replace required professional review, current official rules, field measurements, laboratory methods or specialist statistical software where those are necessary.

Frequently Asked Questions

What does the Statistical Significance Calculator calculate?

Determine statistical significance for A/B proportions, two independent means, paired mean changes, or one mean, with p-values, confidence intervals, effect sizes, lift, power, and decisions.

Which formula does the Statistical Significance Calculator use?

The calculator applies a pooled two-proportion z test, Welch t test, paired t summary test, or one-sample t test according to the selected design.

When should I use the Statistical Significance Test Statistical Calculator?

Use the Statistical Significance Test Statistical Calculator when your research question, variable types, and sampling or experimental design require statistical significance. Do not select it only because the data produce a convenient p-value or familiar output.

What inputs does the Statistical Significance Test Statistical Calculator require?

Use summary inputs or upload raw data, review the cleaning report, then select the method-valid variables for Statistical Significance Calculator.

What does the Statistical Significance Test Statistical Calculator report?

Review Mode, Estimate A, Estimate B Or Null, Difference, Relative Lift, Test Statistic, Degrees Of Freedom, P Value, Confidence Interval, and Effect Size. Use the displayed assumptions, warnings, and interpretation before reporting the result.

Can the Statistical Significance Test Statistical Calculator analyze Excel or CSV data?

Yes. The file is cleaned locally in the browser, then method-valid variable dropdowns place the selected data into this exact calculator.