Covariance {cov(X, Y)} Calculator
Use this online covariance calculator to estimate the nature of association between two random variables X and Y. It computes the covariance with a detailed step-by-step mathematical workout, helping you see how standard variables align in probability and statistics.
Covariance and its Application
Covariance is a method to estimate the nature of association between two random variables X and Y in probability and statistics experiments. It's either a positive or negative number often denoted by cov(X, Y). The large or smaller values of both X and Y variables result the positive score of covariance while the larger values of variable X and smaller values of variable Y results the negative score of covariance. The covariance is non-linear or zero, if the two random variables are statistically independent. It's used in correlation coefficient to find the linear relationship between two random variables. Users can use this covariance calculator to estimate the linear association between X and Y or to generate the step by step estimation for any corresponding input values.
Formula
In the theory of statistics and probability, the below formula is the mathematical representation to estimate the covariance between two random variables X and Y. Users may refer this below formula to know what are all the parameters are being used in the covariance formula to find the inter-relationship between two samples. Users can verify the results of such calculation by using this covariance calculator.
Solved Example Calculations
The below are the solved examples with step by step estimation for the test of inter-dependence between two random variables (samples) X and Y. In addition to the below examples, users can generate work for covariance calculation for any corresponding input values.
