Introduction to statistics and statistical thinking; fundamental elements of statistical analysis; introduction to the use of computers in statistical analysis; describing and exploring data: distributions of data, measures of location, measures of variation, basic elements of probability; random variables; moments and moment generating functions, linear combination of random variables; Bernouli trials and the binomial distribution, the geometric and negative binomial distributions; sampling without replacement; the Poison distribution; the normal distribution; the central limit theorem; confidence intervals and sample sizes. Basic concepts of inference, correlation, regression and hypothesis testing.