Mean (x̄)
16.75
Median (x̃)
15.5
Mode
13
Range
16
Mean (x̄)
16.75
Median (x̃)
15.5
Mode
13
Range
16
| Count (n) | 16 |
|---|---|
| Sum | 268 |
| Minimum | 9 |
| Maximum | 25 |
| Midrange | 17 |
| Geometric Mean | 15.7488 |
| Q1 (25th Percentile) | 13 |
|---|---|
| Q2 (50th Percentile) | 15.5 |
| Q3 (75th Percentile) | 22.5 |
| Interquartile Range (IQR) | 9.5 |
| Outliers (1.5×IQR) | None detected |
Add all values and divide by the count:
Sort the data, then find the middle value(s):
Find the value(s) that appear most frequently:
The Mean Median Mode Calculator helps you find the three most common measures of central tendency in a data set. The mean is the average — you add up all the numbers and divide by how many there are. The median is the middle number when you line up your values from smallest to largest. The mode is the number that shows up the most. These three values tell you different things about where the "center" of your data sits. Just enter your numbers, and this calculator will do the math for you in seconds.
Enter a set of numbers into this calculator to find the mean, median, mode, range, quartiles, outliers, and other descriptive statistics. The tool also shows step-by-step solutions and a frequency chart so you can see how your data breaks down.
Enter Your Dataset: Type or paste your numbers into the text box. You can separate each number with a comma, space, tab, or new line. Decimals and negative numbers both work. For example, you could type "9, 10, 12, 13, 15" or put each number on its own line. Once you enter your data, the calculator will find the mean (average), median (middle value), mode (most common value), range, sum, minimum, maximum, quartiles, interquartile range, outliers, and geometric mean. It will also sort your data, show you how each answer was found step by step, and display a frequency distribution bar chart.
Mean, median, and mode are three ways to describe the center of a set of numbers. In statistics, these are called measures of central tendency. Each one tells you something different about your data, and together they give you a clear picture of what's "typical" in a dataset.
The mean is what most people call the "average." To find it, you add up all the numbers and divide by how many numbers there are. For example, if your numbers are 4, 8, and 6, the mean is (4 + 8 + 6) ÷ 3 = 6. The mean is written with the symbol x̄ (pronounced "x-bar"). One important thing to know is that the mean is sensitive to very large or very small numbers, called outliers. A single extreme value can pull the mean up or down significantly.
The median is the middle number when you sort your data from smallest to largest. If you have an odd count of numbers, the median is the one right in the center. If you have an even count, you take the two middle numbers and find their average. For example, in the sorted set 3, 5, 7, 9, the median is (5 + 7) ÷ 2 = 6. The median is useful because outliers do not affect it the way they affect the mean. This makes it a better measure of the "center" when your data is skewed.
The mode is the number that appears most often in your dataset. A set of numbers can have one mode, more than one mode (called multimodal), or no mode at all if every value appears the same number of times. For example, in the set 2, 3, 3, 5, 7, the mode is 3 because it shows up twice. The mode is the only measure of central tendency that works with non-numerical data, like colors or names.
The range is the difference between the largest and smallest values in your data. It tells you how spread out the numbers are. This calculator also provides quartiles (Q1, Q2, and Q3), which split your sorted data into four equal parts. The interquartile range (IQR) is the difference between Q3 and Q1 and measures the spread of the middle 50% of your data. For a deeper dive into quartile calculations, try our IQR Calculator. Values that fall more than 1.5 times the IQR below Q1 or above Q3 are flagged as outliers.
Enter your numbers in the text box, separated by commas, spaces, tabs, or new lines. The calculator will instantly find the mean, median, mode, and range, along with additional statistics like quartiles, geometric mean, and outlier detection. It also shows a step-by-step breakdown of each calculation so you can follow along and learn, plus a frequency distribution chart so you can see how often each value appears in your dataset. For further statistical analysis, you may also find our Standard Deviation Calculator, Z Score Calculator, and Percent Error Calculator helpful when working with your data.
Yes. This calculator accepts both negative numbers and decimals. Just separate each value with a comma, space, tab, or new line. For example, you can enter -3, 4.5, 7, -1.2 and the calculator will work correctly.
If every value appears equally often, the calculator will report No mode. A mode only exists when one or more values appear more often than the rest.
Multimodal means your dataset has more than one mode. For example, in the set 2, 2, 5, 5, 9, both 2 and 5 appear twice, so there are two modes. The calculator will list all of them.
The geometric mean only works with positive numbers. If your dataset includes zero or any negative number, the geometric mean cannot be calculated, so the tool shows Undefined.
The calculator uses the 1.5 × IQR rule. It finds Q1 and Q3, then calculates the IQR (Q3 − Q1). Any value below Q1 − 1.5 × IQR or above Q3 + 1.5 × IQR is flagged as an outlier.
When you have an even count of numbers, the calculator takes the two middle values from the sorted list and averages them. For example, if the two middle numbers are 10 and 14, the median is (10 + 14) ÷ 2 = 12.
The midrange is the average of the smallest and largest values in your dataset. The formula is (Minimum + Maximum) ÷ 2. It gives a quick, rough estimate of the center of your data.
There is no strict limit. The calculator runs in your browser, so it can handle hundreds or even thousands of numbers. Very large datasets may take a moment to process.
The mean adds all values and divides by the count, so extreme numbers can pull it higher or lower. The median is simply the middle value in the sorted list, so it is not affected by outliers. When data is skewed, the median usually gives a better sense of the typical value.
The bar chart shows how many times each unique value appears in your dataset. The x-axis lists the values, and the y-axis shows the frequency (count). It helps you quickly see which numbers are most and least common.
Yes. You can copy a column or row from Excel, Google Sheets, or any spreadsheet and paste it directly into the text box. The calculator recognizes tabs, spaces, commas, and new lines as separators.
Q1 (first quartile) is the value below which 25% of the data falls. Q2 is the median (50th percentile). Q3 (third quartile) is the value below which 75% of the data falls. Together they divide your sorted data into four equal parts.
This usually means your data is skewed. A few very large values pull the mean up, or a few very small values pull it down, while the median stays near the center. The bigger the gap between mean and median, the more skewed your data is.
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