This is an expository article.Here we show how the successfully used Kalman filter, popular with control engineers and other scientists, can be easily understood by statisticians if we use a Bayesian formulation and some well-known results in multivariate statistics.We also give a simple example illustrating the use of the Kalman filter for quality control work.