Introduction to Probability and Statistics

A first course in probability and statistics without calculus. Topics include data fluency, probability spaces, discrete and continuous random variables, expected values, law of large numbers, central limit theorem, point estimation, confidence intervals, hypothesis testing, measures of association, linear regression. Examples and applications from the popular press and the life, social and physical sciences.