MATH 115 Survey of Statistics
Focuses on statistical reasoning and the solving of problems using real-world data rather than on computational skills. Strong emphasis is on interpretation and evaluation of statistical results that arise from simulation and technology-based computations using technology such as the required TI83/84 Graphing Calculator with a built-in statistical package, and Microsoft Excel spreadsheets. Topics include data collection processes (observational studies, experimental design, sampling techniques, bias), descriptive methods using quantitative and qualitative data, bivariate data, correlation, and least-squares regression, basic probability theory, probability distributions (normal distributions and normal curve, binomial distribution), confidence intervals and hypothesis tests using p-values. This course is designed as a general survey of basic statistical methods. Emphasis is placed on methodology, and applications to biological, social, and management sciences are stressed to underscore the practicality of the material.
Prerequisite
MATH 107 or MATH 108