Statisticians have careers in consulting, government, business, industry and utility companies.
Today's consumer is bombarded with the results of so many quantitative studies using statistical methodology that it is necessary for him to know something about statistics in order to be properly critical. A theoretical introduction to probability with emphasis on the construction of discrete probability models for applications. Topics covered include randomness and aspects of its representation, random variables, Venn diagrams, discrete probability distributions, expectation and variance, independence, conditional probability, the central limit theorem and applications to the analysis of algorithms and simulating systems such as queues. Statistics Acquaints students with the fundamentals of statistics. The course discusses statistical procedures for describing large quantities of data and for making inferences about populations on the basis of samples.