## Calculator Use

Calculate basic summary statistics for a sample or population data set including minimum, maximum, range, sum, count, mean, median, mode, standard deviation and variance.

Enter data separated by commas or spaces.

You can also copy and paste lines of data from spreadsheets or text documents. See all allowable formats in the table below.

## Basic Statistics Calculations for this Calculator

Below is a listing of the statistical values calculated and the formulas used by this calculator. Values in a set of data are represented by *x _{1}, x_{2}, x_{3}, ... x_{n}*.

### How to Find the Minimum

Ordering a data set from lowest to highest value, *x _{1} ≤ x_{2} ≤ x_{3} ≤ ... ≤ x_{n}*, the minimum is the smallest value in the data set,

*x*. The formula for minimum is:

_{1}\[ \text{Min} = x_1 = \text{min}(x_i)_{i=1}^{n} \]

### How to Find the Maximum

Ordering a data set from lowest to highest value, *x _{1} ≤ x_{2} ≤ x_{3} ≤ ... ≤ x_{n}*, the maximum is the largest value in the data set,

*x*. The formula for maximum is:

_{n}\[ \text{Max} = x_n = \text{max}(x_i)_{i=1}^{n} \]

### How to Find the Range

The range of a data set is the difference between the minimum and maximum. To find the range, calculate x_{n} minus x_{1}.

\[ R = x_n - x_1 \]

### How to Find the Sum

The sum is the total of all data values added together, *x _{1} + x_{2} + x_{3} + ... + x_{n}*. The formula for sum is:

\[ \text{Sum} = \sum_{i=1}^{n}x_i \]

### How to Find the Count: What is the Size of a Data Set?

The count is the number of data values in a data set.

\[ \text{Count} = \text{Size} = n = \text{count}(x_i)_{i=1}^{n} \]

### How to Calculate the Mean

The mean is the sum of all of the data values divided by the size of the data set. The mean is also known as the average. To find the mean add all of the values and divide by the count. The only difference between a sample mean and a population mean is the symbol used to express the mean.

For a Population

\[ \mu = \dfrac{\sum_{i=1}^{n}x_i}{n} \]

For a Sample

\[ \overline{x} = \dfrac{\sum_{i=1}^{n}x_i}{n} \]

### How to Find the Median

Ordering a data set from lowest to highest value, x_{1} ≤ x_{2} ≤ x_{3} ≤ ... ≤ x_{n}, the median is the value separating the upper half of the ordered data from the lower half. If n is odd the median is the center value. If n is even the median is the average of the 2 center values.

If n is odd the median is the value at position p where

\[ p = \dfrac{n + 1}{2} \] \[ \widetilde{x} = x_p \]

If n is even the median is the average of the values at positions p and p + 1 where

\[ p = \dfrac{n}{2} \] \[ \widetilde{x} = \dfrac{x_{p} + x_{p+1}}{2} \]

### How to Find the Mode

The mode is the value or values that occur most frequently in the data set. Count the number of times each value in a data set occurs. The mode is the data value with the highest count.

### How to Calculate Standard Deviation

Standard deviation is a measure of dispersion of data values about the mean. The formula for standard deviation is the square root of the sum of squared differences from the mean divided by the size of the data set.

For a Population

\[ \sigma = \sqrt{\dfrac{\sum_{i=1}^{n}(x_i - \mu)^{2}}{n}} \]

For a Sample

\[ s = \sqrt{\dfrac{\sum_{i=1}^{n}(x_i - \overline{x})^{2}}{n - 1}} \]

### How to Calculate Variance

Variance measures dispersion of data from the mean. The formula for variance is the sum of squared differences from the mean divided by the size of the data set.

For a Population

\[ \sigma^{2} = \dfrac{\sum_{i=1}^{n}(x_i - \mu)^{2}}{n} \]

For a Sample

\[ s^{2} = \dfrac{\sum_{i=1}^{n}(x_i - \overline{x})^{2}}{n - 1} \]

Acceptable Data Formats

Type

Unit

Your Format Input

Options

Actual Input Processed

Column (New Lines)

42

54

65

47

59

40

53

42, 54, 65, 47, 59, 40, 53

Comma Separated (CSV)

42,

54,

65,

47,

59,

40,

53,

or

42, 54, 65, 47, 59, 40, 53

42, 54, 65, 47, 59, 40, 53

Spaces

42 54

65 47

59 40

53

or

42 54 65 47 59 40 53

42, 54, 65, 47, 59, 40, 53

Mixed Delimiters

42

54 65,,, 47,,59,

40 53

42, 54, 65, 47, 59, 40, 53

See Descriptive Statistics Calculator for more advanced statistics calculations.