In the previous section, the expected value, variance and covariance have been introduced. This section will elaborate on how a covariance – that isn’t equal to zero – affects the expected value of a joint probability (non-independent variables).
In the previous section, the expected value, variance and covariance have been introduced. This section will elaborate on how a covariance – that isn’t equal to zero – affects the expected value of a joint probability (non-independent variables).