This course deals in depth with statistical methods used to analyze data. Applications are drawn from many diverse areas. Topics include: measures of location and scale for frequency distributions, addition and multiplication laws for probability, the binomial, Poisson and normal distributions, inferences about proportions and location parameters in one sample and two sample problems, analysis of completely randomized and randomized mlocks designs, simple linear regression and correlation, median test, rank sum test, signed rank test.
PREREQUISITES:
Calculus II (MAT152 or equivalent).
Fall 2009: Edmond Rusjan
Next time offerred: Fall 2010.
Old class notes - Fall 2004: William Thistleton