Online Statistics Solver with Worked Steps

Choose a data summary, confidence interval or hypothesis-test calculation. Enter your values to see the calculation and its assumptions. Photo and general word-problem analysis are available separately in the mobile app.

Choose a data summary, confidence interval or hypothesis-test calculation and enter your values below. These calculators show their assumptions and steps; they do not interpret arbitrary word problems or uploaded photos.

Review the data summary and check units, outliers and whether the values are a sample or a population.

Statistics Calculator

Paste your data set to get the mean, median, mode, range, variance, and standard deviation — with every step shown.

Separate numbers with commas, spaces, or new lines. Decimals and negatives are fine.

Variance & standard deviation type

Mean (x̄)

5

Median

4.5

Mode

4

appears 3×

Range

7

Sample variance

4.571429

divides by n − 1

Sample std. deviation

2.13809

√ of sample variance

n = 8
Sum = 40
Min = 2
Max = 9

1Count and sort the data

You entered n = 8 values. Sorted from smallest to largest:

2, 4, 4, 4, 5, 5, 7, 9

2Mean — add everything, divide by n

x̄ = (2 + 4 + 4 + 4 + 5 + 5 + 7 + 9) ÷ 8 = 40 ÷ 8 = 5

3Median — the middle of the sorted list

n = 8 is even, so there are two middle values: position 4 (4) and position 5 (5). Average them:

median = (4 + 5) ÷ 2 = 4.5

4Mode — the most frequent value(s)

2 ×1
4 ×3
5 ×2
7 ×1
9 ×1

4 appears 3 times — more than any other value — so it is the mode.

5Range — largest minus smallest

range = 92 = 7

6Sample variance — average squared distance from the mean

Subtract the mean x̄ = 5 from each value, square the result, then add the squares:

xx − x̄(x − x̄)²
2-39
4-11
4-11
4-11
500
500
724
9416
Σ(x − x̄)²32

Divide by n − 1 = 8 − 1 = 7 (sample data — Bessel's correction):

= 32 ÷ 7 = 4.571429

7Sample standard deviation — square root of the variance

s = √4.571429 = 2.13809

The standard deviation is in the same units as your data, which makes it easier to interpret than the variance.

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