Basic statistics Archives - Stat Study Hub

Basic statistics Calculators

Find the arithmetic mean quickly by adding all values and dividing by the total number of observations.

Use this calculator to quickly find the sample coefficient of variation or population coefficient of variation using either raw data…

Calculate key descriptive statistics such as mean, median, mode, range, variance, and standard deviation to summarize your dataset quickly and…

Generate the five number summary including minimum, first quartile, median, third quartile, and maximum for a quick overview of data…

Find the geometric mean quickly for growth rates, percentages, returns, and other multiplicative data.

Calculate the harmonic mean for rates, ratios, and average speeds where reciprocal values give a more meaningful average.

This Mean Median Mode Calculator helps you quickly find the three main measures of central tendency from a dataset. The…

Calculate the population mean easily to find the true average value for an entire population dataset.

Calculate the population standard deviation to measure how far values in an entire population typically spread from the population mean.

Find quartiles quickly to divide your dataset into four equal parts. It helps you better understand spread, position, and distribution.

Find the range instantly by subtracting the minimum value from the maximum value to measure overall data spread.

Find the sample mean quickly from your dataset to measure the average value and summarize the center of your sample…

Calculate the sample standard deviation to estimate how much sample values vary around the sample mean.

Calculate sample and population standard deviation instantly to measure data spread and understand how much values differ from the mean.

Calculate the standard error to estimate how much a sample mean is expected to vary from the true population mean.

Compute variance quickly to measure how widely data values are spread around the mean in a sample or population.

Compute the weighted mean when some values carry more importance or frequency than others in your dataset.