Sample Standard Deviation Formula Sample Standard Deviation Formula Sample standard deviation refers to the statistical metric that is used to measure the extent by which a random variable diverges from the mean of the sample.Quartile Deviation Quartile Deviation Quartile deviation is based on the difference between the first quartile and the third quartile in the frequency distribution and the difference is also known as the interquartile range, the difference divided by two is known as quartile deviation or semi interquartile range.You may also look at these useful functions in Excel – Here we discuss how to calculate standard deviation in excel using formula and examples. This has been a guide to standard deviation in Excel. The STDEV.S function accepts two arguments–“number 1” and “number 2” representing the first and the second value of the sample data respectively.The STDEV.S function calculates the standard deviation using the numerical values only.The population refers to the entire data set while a sample is a subset of this data.The higher the standard deviation, the more scattered the data points from the mean.The lower the standard deviation, the closer the data points to the mean.The standard deviation shows the variability of the data values from the mean (average).STDEV calculates the standard deviation of the sample data supplied as an argument.Note: The STDEV.S is available in Excel 2010 and the subsequent versions. The logical value “false” is counted as 0 and “true” is counted as 1. The STDEVA function calculates the standard deviation by counting the text values as zero.The “S” of the function represents the sample data set. The STDEV.S function calculates the standard deviation Standard Deviation Standard deviation (SD) is a popular statistical tool represented by the Greek letter 'σ' to measure the variation or dispersion of a set of data values relative to its mean (average), thus interpreting the data's reliability.The two functions are explained as follows: Note: The sample standard deviation helps make conclusions for the population. A sample of the population is taken when it is difficult to use the complete data set. The population refers to the whole data set.The population and sample are defined as follows: Otherwise, it returns the “#DIV/0!” error. Note 2: The sample standard deviation formula works correctly when the supplied arguments contain at least two numeric values. Note 1: If the entire sample data is entered as a range, the “number 2” argument becomes optional. “Number 1” is mandatory and “number 2” is an optional argument. Number 2: This is the second value of the sample data.Number 1: This is the first value of the sample data.

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