MAT 282 Intermediate Statistics
This computationally intensive course offers an in-depth exploration of the most commonly used statistical methods, emphasizing both manual calculations and R programming language to arrive at a thorough understanding of statistical formulas. Students will learn how to read and compute statistical formulas, grasp their applications and rationale, and develop proficiency in basic statistical coding and mathematical modelling. Topics include measures of central tendency and variability, probability fundamentals, the normal distribution, sampling distributions, confidence intervals, hypothesis testing, t-tests, correlation, regression, ANOVA, chi-squared tests, and Bayes' Theorem. Students will work through statistical calculations, gaining a solid foundation in statistical reasoning and the skills necessary to perform statistical analyses and communicate results. This hands-on approach to learning statistics fosters a deeper understanding of concepts than MAT182 and prepares students to interpret and apply statistics in upper level and graduate courses.
Prerequisite
MAT 182, with minimum grade of C, or math placement score