# Statistics Calculator Calculate statistical measures for numerical datasets including mean, median, mode, standard deviation, and more > Canonical page: https://elysiatools.com/en/tools/statistics-calculator - **Category:** Math & Numbers - **Keywords:** statistics, calculator, mean, median, mode, standard deviation, variance, dataset, statistics calculator ## Overview The Statistics Calculator is a powerful tool designed to process numerical datasets and provide essential statistical insights, including mean, median, mode, standard deviation, and variance, with customizable precision and analysis options. ## Inputs - **Dataset** (textarea): Enter numbers separated by commas, spaces, or new lines (e.g., 1, 2, 3, 4, 5 or 1 2 3 4 5) - **Decimal Precision** (number): Number of decimal places (0-10) - **Include percentiles (25th, 50th, 75th)** (checkbox) - **Include outlier detection** (checkbox) ## When to use - When you need to quickly summarize a list of numerical data points for research or reporting. - When you need to identify outliers or distribution patterns within a specific dataset. - When you require precise statistical calculations for academic, financial, or scientific analysis. ## How it works - Input your numerical data into the text area, separating values with commas, spaces, or new lines. - Adjust the decimal precision and toggle optional features like percentile calculation or outlier detection. - Click the calculate button to generate a comprehensive statistical summary of your dataset. ## Use cases - Analyzing student test scores to determine class averages and performance distribution. - Processing financial transaction data to identify spending trends and anomalies. - Evaluating experimental results in scientific research to ensure data consistency and accuracy. ## Frequently asked questions ### What input formats are supported? You can enter numbers separated by commas, spaces, or new lines. ### Can I control the number of decimal places? Yes, you can set the decimal precision between 0 and 10 places. ### Does the tool identify outliers? Yes, by enabling the 'Include outlier detection' checkbox, the tool will flag values that fall outside the standard statistical range. ### What statistical measures are calculated? The tool calculates the mean, median, mode, standard deviation, variance, and optionally, the 25th, 50th, and 75th percentiles. ### Is there a limit to the number of data points? The tool is designed to handle large datasets efficiently, though performance may vary based on the size of your input. ## Related tools - [Average Calculator](https://elysiatools.com/en/tools/average-calculator): Compare arithmetic, geometric, and harmonic averages for a numeric dataset in one place - [Confidence Interval Calculator](https://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://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://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://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://elysiatools.com/en/tools/mean-calculator): Calculate the arithmetic mean of a numeric dataset and review the main supporting statistics - [Normal Distribution Calculator](https://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://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 ## Samples - [Android Image Processing Java Samples](https://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://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://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://elysiatools.com/en/samples/web-image-processing-rust): Web Rust image processing examples including image read/save, scaling, and format conversion ## Related content - [Statistical Analysis, Tests, and Distribution Tools](https://elysiatools.com/en/hubs/statistical-analysis-tools): Summarize numeric data, measure spread, compare groups, calculate probability and confidence, and model relationships with focused statistics tools.