University Of Birmingham

LC Probability and Statistics

06 25663

Iowa State Course Substitution

Introduction to the Theory of Probability and Statistics I

STAT 341

Course Info
International Credits:
Converted Credits:
United Kingdom
Course Description:
Statistics, often regarded as distinct science rather than a branch of mathematics, is the study of data and uncertainty. Statistical techniques allow us to make conclusions, such as whether or not living near electricity pylons in dangerous, from sets of data. Statistics is also used in the design of effective experiments and in determining what data should be collected. For example, statistical techniques might be used to determine the frequency with which aircraft components should be tested for safety. Underlying these techniques is the assumption that these data are samples of a random variable that follows a probability distribution describing their behaviour. This module provides and introduction to probability and statistics. Axiomatic probability theory, including Bayes' Theorem, is discussed briefly. Key discrete and continuous probability modules (such as the binomial, Poisson and normal distributions) are introduced. Properties of expectation and variance are discussed. The Weak Law of Large Numbers and the Central Limit Theorem are covered before basic statistical ideas, such as statistical inference and hypothesis testing are introduced. Real world data are used to illustrate the theory.


Evaluation Date:
November 4, 2016
Amy Froelich
This course covers most of the probability concepts in STAT 330 and 341. However, queuing models, Markov chains, and data analysis are not covered in this course; making it most equivalent to STAT 341.