# Average Calculator Compare arithmetic, geometric, and harmonic averages for a numeric dataset in one place > Canonical page: https://test.elysiatools.com/en/tools/average-calculator - **Category:** Math & Numbers - **Keywords:** average, mean, arithmetic mean, geometric mean, harmonic mean, statistics ## Overview Average Calculator computes arithmetic, geometric, and harmonic means from raw numeric datasets and outputs structured central tendency metrics with optional summary statistics. ## Inputs - **Dataset** (textarea): e.g. 4, 8, 16, 32 - **Average Type** (select) - **Decimal Places** (number) - **Include Summary Statistics** (checkbox) ## When to use - You have a single set of numbers and need to evaluate whether the arithmetic, geometric, or harmonic mean is the appropriate measure. - You are analyzing compounding growth rates or proportional ratios that require geometric mean validation alongside standard averages. - You are averaging rates, ratios, or speeds where the harmonic mean is mathematically required. ## How it works - Enter a comma-delimited or space-delimited list of numbers into the Dataset field. - Select the target metric under Average Type: Arithmetic Mean, Geometric Mean, Harmonic Mean, or Show All Types. - Set the desired precision using Decimal Places (0 to 10) and toggle Include Summary Statistics if needed. - Process the inputs and inspect the JSON result containing the calculated means and summary metrics. ## Use cases - Benchmark compounding annual growth rates by reviewing the geometric mean against the arithmetic mean. - Calculate average trip speeds or unit production rates across fixed distances using the harmonic mean. - Audit classroom test scores or standard experimental measurements using the arithmetic mean with full summary statistics. ## Frequently asked questions ### How should raw numbers be entered in the Dataset input? Enter values into the textarea separated by commas or spaces, such as '4, 8, 16, 32'. ### What options are available under Average Type? You can select Arithmetic Mean, Geometric Mean, Harmonic Mean, or Show All Types to compute all three at once. ### Can I calculate geometric and harmonic means with negative numbers? Geometric and harmonic averages require positive numeric values. Ensure values are greater than zero before running those modes. ### What is the maximum precision supported by Decimal Places? The Decimal Places field accepts integer values from 0 up to 10, defaulting to 4. ### What does the Include Summary Statistics option provide? When enabled, the output JSON provides supplemental summary statistics alongside the primary mean calculation. ## Related tools - [Confidence Interval Calculator](https://test.elysiatools.com/en/tools/confidence-interval-calculator): Calculate confidence intervals for a sample mean or proportion using either raw data or summary statistics - [Geometric Mean Calculator](https://test.elysiatools.com/en/tools/geometric-mean-calculator): Calculate the geometric mean of positive numeric values for growth rates, ratios, and multiplicative datasets - [Harmonic Mean Calculator](https://test.elysiatools.com/en/tools/harmonic-mean-calculator): Calculate the harmonic mean of positive values, with optional arithmetic and geometric mean comparison - [Heat Exchanger LMTD Calculator (Log Mean Temperature Difference)](https://test.elysiatools.com/en/tools/heat-exchanger-lmtd): Compute the Log Mean Temperature Difference (LMTD) of a heat exchanger for parallel or counter flow. Parallel flow: ΔT₁ = T_h,in - T_c,in and ΔT₂ = T_h,out - T_c,out; counter flow: ΔT₁ = T_h,in - T_c,out and ΔT₂ = T_h,out - T_c,in. LMTD = (ΔT₁ - ΔT₂)/ln(ΔT₁/ΔT₂), or ΔT₁ when ΔT₁ = ΔT₂. A non-positive terminal difference (temperature cross) is physically impossible and is rejected. Optionally, with the overall heat transfer coefficient U (W/(m²·K)) and the heat transfer area A (m²), the heat transfer rate Q = U·A·LMTD (W) is returned. Temperatures are used only as differences: Δ°C = ΔK and Δ°F ×5/9 = ΔK; the LMTD is reported in K. - [Mean Calculator](https://test.elysiatools.com/en/tools/mean-calculator): Calculate the arithmetic mean of a numeric dataset and review the main supporting statistics - [Normal Distribution Calculator](https://test.elysiatools.com/en/tools/normal-distribution-calculator): Calculate z-scores, cumulative probability, tail probability, and interval probability for a normal distribution - [Sample Size Calculator](https://test.elysiatools.com/en/tools/sample-size-calculator): Estimate required sample size for proportions or means using confidence level, margin of error, and optional finite population correction - [Statistical Power Calculator](https://test.elysiatools.com/en/tools/statistical-power-calculator): Estimate statistical power for one-sample mean or proportion tests using sample size, alpha, and expected effect ## Samples - [Android Image Processing Java Samples](https://test.elysiatools.com/en/samples/android-image-processing-java): Android Java image processing examples including reading/saving images, scaling, and format conversion - [Android Image Processing Kotlin Samples](https://test.elysiatools.com/en/samples/android-image-processing-kotlin): Android Kotlin image processing examples including reading/saving images, scaling, and format conversion - [Web Image Processing Python Samples](https://test.elysiatools.com/en/samples/web-image-processing-python): Web Python image processing examples using PIL/Pillow including reading, saving, resizing, and format conversion - [Web Image Processing Rust Samples](https://test.elysiatools.com/en/samples/web-image-processing-rust): Web Rust image processing examples including image read/save, scaling, and format conversion