Upon completion of this course, students will be able to: calculate and use measures of central tendency to draw conclusions about data and organize data graphically; calculate probabilities and apply Bayes’ Theorem; determine continuous and joint probabilities and calculate expected values; perform calculations related to binomial, negative binomial, and Poisson distributions; solve applications involving common continuous distributions; determine the sample size needed to fit a situation and determine probabilities using the sampling distribution of the mean; construct confidence intervals for proportions and variance and determine maximum likelihood estimators; describe type I and type II errors and perform hypothesis tests; fit data using simple linear regression and compute correlation coefficients; and interpret results involving multiple linear regression models.