MATH-140 Introduction to Mathematical Statistics
Fall for 2017-2018
Spring for 2017-2018
No faculty information available
This course provides an introduction to probability theory and statistical inference. The first half of the course introduces fundamentals in probability. Topics to be covered include basic probability principles, enumeration methods, properties of random variables, common discrete and continuous distribution functions, and expected values. The second half of the course focuses on the core of statistical inference and deals with the central limit theorem, maximum likelihood estimation, confidence intervals, hypothesis testing, and the linear regression model. Statistical software will be used to illustrate concepts and to perform data analysis.
Credits: 3
Prerequisites: Math-036, Calculus II

Sections:

MATH-140-01 Introduction to Mathematical Statistics
Fall for 2017-2018
Spring for 2017-2018
No faculty information available
This course provides an introduction to basic concepts in probability theory and applied statistics. Topics to be covered include methods of enumeration, properties of random variables, common discrete and continuous distributions, expectations, the central limit theorem, parameter estimation, confidence intervals, hypothesis testing, and linear regression. Concepts will be illustrated and applied to data using the statistical package Minitab.
Credits: 3
Prerequisites: Math-036, Calculus II
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