Statistical calculations refer to techniques used to analyze data and make inferences about population based on a sample. Some examples of statistical calculations includes estimating the mean or average of a population, calculating correlation between two variables and testing hypotheses.

Let's use the Calculator

Enter a list of numbers separated by commas:



Mean:

Median:

Mode:

Minimum:

Maximum:

Range:

Count:

Sum:

Variance:

Sample Variance:

Standard Deviation:

Sample Standard Deviation:

Geometric Mean:

Mean: The mean is measure of central tendency that is calculated by adding up all values in a data set and then dividing by the number of values. In other words it is average of a set of values. It is useful for summarizing data and is often used in statistical analyses.

Median: It is middle value of a data set when values are arranged in either ascending or descending order. It is a measure of central tendency that is unaffected by extreme values and is thus less susceptible to outliers.

Mode: The value that appears most frequently in a data set is called mode.. It is a measure of central tendency and is useful for summarizing data.

Minimum: The minimum value is smallest value in a data set. It is useful for understanding the range of values in a data set.

Maximum: The maximum value is the largest value in a data set. It is useful for understanding the range of values in a data set.

Range: The range is the difference between maximum and minimum values in a data set. It is useful in understanding range of values in a data set.

Count: The count is the number of values in a data set. Understanding how large a data set is useful.

Sum: The sum of all the values in a data set is represented by the word sum. Understanding how large a data set is useful.

Variance: A measure of a data set’s dispersion, variance. It is calculated by averaging the squares of the deviations from the mean of each value.

Sample Variance: After taking into consideration the sample size, measure of how evenly dispersed a set of data is the sample variance. it is calculated by averaging the squares of the variances between each result and the mean.

Standard Deviation: The standard deviation is a measurement of the variability within a data collection. It is obtained by taking the variance’s square root.

Sample Standard Deviation: The sample standard deviation is indicator of how widely distributed a set of data is. It is calculated by taking the sample variance’s square root.

Geometric Mean: It is a measure of central tendency. Calculating the geometric mean involves finding the nth root of the product of all the values in a data set.