Variance and Covariance are two mathematical terms which are used frequently in statistics. Variance basically refers to how apart numbers are in relation to the mean. Covariance, on the other hand, refers to how two random variables will change together.... (More)

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Eigenvectors: Eigenvectors are basically used to understand linear transformations. These are calculated for a correlation or a covariance matrix.

For definition purposes, you can say that Eigenvectors are the directions along which a specific linear transformation acts either by flipping,... (More)

T-test: T-test is used when the standard deviation is unknown and the sample size is comparatively small.

Chi-Square Test for Independence: These tests are used to find out the significance of the association between categorical variables in the population sample.... (More)