Introduction to Statistics 4 Units 72 lecture hours

Catalog description

This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines. This course will include the normal curve, z-test for one and two samples, other types of probability rules, counting rules, hypothesis testing for proportions, and statistical inference for proportions. Furthermore, this class discusses experimental design (the role of confounding variables in observational studies, the role of random assignment, the strengths and weaknesses of observational studies and controlled experiments, etc.). Formerly MATH 165.