We will review the concepts of expectation, variance, and covariance, and you will be introduced to a formal, yet intuitive, method of estimation known as the "method of moments". In this module, we ...

Variance: the probability-weighted average of the squared differences between all possible values in a distribution and the distribution's expected value. Try entering n = 100 and p = 0.5. Do you see ...

Explain why probability is important to statistics and data science. See the relationship between conditional and independent events in a statistical experiment. Calculate the expectation and variance ...