Mean, Median, Mode Calculatorv1.0.0

Calculate mean, median, and mode to describe central tendency, and compute range, minimum, maximum, quartiles, interquartile range, geometric mean, harmonic mean, and custom percentiles to analyze data distribution. Parse numbers in common formats, control decimal places, and switch between English and European number styles to match your locale. Use this descriptive statistics calculator to support coursework, research, dashboards, and quick reports.

Understand what your data says at a glance. View key results, inspect quartiles and IQR to detect outliers, and use percentiles to summarize skewed or time-bound datasets such as response times, sales amounts, and test scores. Export results manually by copying values into your notes or spreadsheets.

Enter numbers separated by commas, spaces, or newlines. Include fractions like 3/4 and numbers with thousands separators such as 1,000. Use Settings to select number format, set decimal precision, and choose a percentile to compute.

• Paste or type your dataset into the input box.
• Open Settings to choose EN or EU number format and set decimal places.
• Set the Percentile target if you need a specific percentile value.
• Select Calculate to generate statistics, or type to trigger automatic updates.
• Select Reset to clear inputs and restore defaults.

Example inputs:

1, 2, 3, 4, 5 1.5 2.7 3.2 3/4 1/2 2/3 1,000 2,500 3,000

• Summarize exam scores to compare mean and median and flag outliers for review.
• Analyze sales amounts or order sizes with percentiles to report realistic benchmarks.
• Evaluate latency or processing times using median and 90th percentile to capture tail behavior.
• Assess skewed financial or biological data with geometric or harmonic mean when appropriate.
• Create concise descriptive statistics for homework, lab reports, and business dashboards.

Summarize website response times by computing the median and 95th percentile to track user experience under load. Compare the mean and median of monthly sales to identify skew from a few large orders. Detect outliers in sensor readings by checking values that fall outside Q1 − 1.5 × IQR or Q3 + 1.5 × IQR. Report classroom test results by listing mean, median, mode, and IQR so students see both typical performance and spread.

Enter integers, decimals, and simple fractions such as 3/4. Include thousands separators like 1,000. Switch between EN (1,234.56) and EU (1.234,56) formats in Settings.

Choose the median when your data is skewed or includes outliers, since the median is robust to extreme values. Use the mean when values are spread evenly without large extremes.

The calculator sorts values and uses linear interpolation to compute quartiles and any requested percentile. The IQR equals Q3 minus Q1 and supports standard outlier detection.