MATH3110: Probability and Statistics I
Credit Hours: 3.0
Terms Offered: Fall, Spring
Probaility models, random variables, probability distributions, estimation, and hypothesis testins are studied from theoretical and practical viewpoints.
The student will be able to:
Compare and contrast the differences and similarities between population parameters and sample statistics for both discrete and continuous probability distributions.
Construct and complete appropriate hypothesis tests for point and interval parameter estimates, ANOVA (analysis of variance), and linear regression.
Create and explain appropriate descriptive and graphical displays to represent univariate and bivariate data.
Explain the basic principles and properties of probability and statistics, the basic discrete distributions, basic continuous distributions, Central Limit Theorem, conditional probability, independence, and Bayes rule.
Apply statistical methods for planning and analysis of experiments..
Effectively communicate statistical analysis information in a correct, complete, clear and concise manner.