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The online average calculator supports the calculation of arithmetic mean, geometric mean, root mean square, harmonic mean, median and mode of a group of values.
- Input Number : Enter the numeric values to be calculated, separated by commas. Supports entering integers or floating-point numbers, such as 2,-100.5,10333. Numeric values represented by scientific notation are not supported.
- Number Count : The number of numerical values involved in the calculation.
- Sum : the sum of numerical values. The calculation formula is : .
- Arithmetic Mean : Usually abbreviated as mean, it is the most basic and commonly used average indicator in statistics. The calculation formula is : .
- Geometric Mean :In mathematics, the geometric mean is a mean or average which indicates a central tendency of a finite set of real numbers by using the product of their values (as opposed to the arithmetic mean which uses their sum). The geometric mean is defined as the nth root of the product of n numbers. When the number of input values is even, the product of all values needs to be greater than or equal to 0. The calculation formula is : .
- Root Mean Square : In mathematics and its applications, the root mean square of a set of numbers is defined as the square root of the mean square of the set. The calculation formula is : .
- Harmonic Mean : In mathematics, the harmonic mean is one of several kinds of average, and in particular, one of the Pythagorean means. It is sometimes appropriate for situations when the average rate is desired. Calculate the harmonic mean, all values cannot be 0. The calculation formula is : .
- Median : In statistics and probability theory, the median is the value separating the higher half from the lower half of a data sample, a population, or a probability distribution. For a data set, it may be thought of as "the middle" value. The basic feature of the median in describing data compared to the mean (often simply described as the "average") is that it is not skewed by a small proportion of extremely large or small values, and therefore provides a better representation of the center. Median income, for example, may be a better way to describe center of the income distribution because increases in the largest incomes alone have no effect on median. For this reason, the median is of central importance in robust statistics.
- Mode : The mode is the value that appears most often in a set of data values. If all values appear the same number of times, then this set of data has no mode.