Statistics For Scientists

Catalog description

The objective of this course is to provide a thorough introduction to the statistical methods most likely to be encountered by scientists in practical research applications. Specific topics that will be covered in this course include probability axioms and counting techniques, discrete and continuous distributions, sampling methods and descriptive statistics, the Central Limit Theorem and its applications, confidence intervals, hypothesis testing, and linear regression. MATH 1230 is mutually exclusive with MATH 1110 . Students may receive credit for only one of MATH 1110 or 1230 in the undergraduate degree. Only MATH 1230 counts towards the B.S. degree.