Paste any numbers to get mean, median, mode, standard deviation, and more — instantly.
Count (n)
Sum
Mean (Average)
Median
Mode
Min
Max
Range
Variance (Pop.)
Std Deviation (Pop.)
Q1 (25th percentile)
Q3 (75th percentile)
IQR (Q3 − Q1)
Sorted data (0 values)
Frequently Asked Questions
What is the difference between mean, median, and mode?
The mean is the arithmetic average — all values added together, then divided by the count. The median is the middle value when the data is sorted; it is resistant to extreme outliers. The mode is the value that appears most frequently; a data set can have no mode (all values unique), one mode, or multiple modes. For skewed distributions, the median is often a better "typical" value than the mean.
What is standard deviation?
Standard deviation measures how spread out the values in a data set are around the mean. A low standard deviation means values cluster close to the mean; a high standard deviation means they are spread out over a wide range. This calculator uses the population standard deviation formula (dividing by n), which is appropriate when your data set is the entire population. If your data is a sample from a larger population, use the sample standard deviation (dividing by n−1) instead.
What are quartiles and IQR?
Quartiles divide a sorted data set into four equal parts. Q1 (the 25th percentile) is the value below which 25% of data falls. Q3 (the 75th percentile) is the value below which 75% of data falls. The IQR (Interquartile Range) is Q3 − Q1, and represents the middle 50% of your data. The IQR is commonly used to detect outliers: any value more than 1.5 × IQR below Q1 or above Q3 is typically considered an outlier.