UF-Statistics UFL

Undergraduate Statistics Course Descriptions


 
STA 2023 Introduction to Statistics 1 (Fall, Spring, Summer) 
Credits: 3 Prereq: None
Graphical and numerical descriptive measures, probability, conditional probability, probability laws, discrete random variables, binomial and normal random variables, sampling distributions, central limit theorem, large and small sample confidence intervals for parameters associated with a single population and for comparison of two populations. Hypothesis testing for large and small samples. (M) 


 
STA 3024 Introduction to Statistics 2 (Fall, Spring, Summer) 
Credits: 3 Prereq: STA 2023 or equivalent. 
An introduction to the analysis of variance. Nonparametric statistical methods and applications. Analysis of count data: chi-square and contingency tables. Simple and multiple linear regression methods with applications. (M) 


 
STA 3032 Engineering Statistics (Fall, Spring, Summer) 
Credits: 3 Prereq: MAC 2311
A survey of the basic concepts in probability and statistics with engineering applications. Topics include probability, discrete and continuous random variables, estimation, hypothesis testing, and linear and multiple regression. (M) 


 
STA 4183 Theory of Interest (Fall odd years) 
Credits: 3 Prereq: MAC 2312
Measurement of simple and compound interest, accumulated and present value. Annuities, yield rates, amortization schedules, sinking funds, bonds, securities and related funds.

STA 4210 Regression Analysis (Fall) 
Credits: 3 Prereq: STA 2023 or STA 3032 or STA 4322. 
Simple linear regression and multiple linear regression models. Inference about model parameters and predictions, diagnostic and remedial measures about the model, independent variable selection, multicolinearity, autocorrelation, and nonlinear regression. SAS implementation of the above topics. (M) 


 
STA 4211 Design of Experiments (Spring) 
Credits: 3 Prereq: STA 4210. 
An introduction to the basic principles of experimental design: analysis of variance for experiments with a single factor; randomized blocks and Latin square designs: multiple comparison of treatment means; factorial and nested designs; analysis of covariance; an introduction to response surface methodology. (M) 


 
STA 4222 Sample Survey Design (Fall even years)
Credits: 3 Prereq: STA 4321 and either STA 2023, STA 3032 or STA 4322. 
An introduction to the design of sample surveys and the analysis of survey data, the course emphasizes practical applications of survey methodology. Topics include sources of errors in surveys, questionnaire construction, simple random, stratified, systematic and cluster sampling, ratio and regression estimation, and a selection of special topics such as applications to quality control and environmental science. (M) 


 
STA 4321 Intro. to Probability (Fall, Spring, Summer) 
Credits: 3 Prereq: MAC 2313 and Intro Statistics or permission
Introduction to the theory of probability, counting rules, conditional probability, independence, additive and multipicative laws, Bayes Rule. Discrete and continuous random variables, their distributions, moments, moment generating functions. Multivariate probability distributions, independence, covariance. Distributions of functions of random variables. (M) 


 
STA 4322 Intro. Statistics Theory (Fall, Spring, Summer)
Credits: 3 Prereq: STA 4321 or equivalent.
Sampling distributions, central limit theorem, estimation, properties of point estimators, confidence intervals, hypothesis testing, common large sample tests, normal theory small sample tests, uniformly most powerful and likelihood ratio tests, linear models and least squares, correlation. Introduction to analysis of variance. (M) 


 
STA 4502 Nonparametric Statistical Methods (Fall odd years) 
Credits: 3 Prereq: STA 2023 or STA 3032 or STA 4210 or STA 4322. 
Introduction to nonparametric statistics, including one and two sample testing and estimation methods, one and two way layout models and correlation and regression models. (M)


 
STA 4504 Categorical Data Analysis (Spring) 
Credits: 3 Prereq: STA 3024 or STA 3032 or STA 4210 or STA 4322. 
Description and inference using proportions and odds ratios, multi-way contingency tables, logistic regression and other generalized linear models, loglinear models, applications. (M)


 
STA 4702 Multivariate Statistical Methods (Spring odd years)
Credits: 3 Prereq: STA 3032 or STA 4210 or STA 4322 or STA 6127 or STA 6167 and either MAS 3114 or the equivalent 
Review of matrix theory, univariate normal, t, chi-squared, F and multivariate normal distributions. Inference about multivariate means including Hotelling's T squared, multivariate analysis of variance, multivariate regression and multivariate repeated measures. Inference about covariance structure including principal components, factor analysis and cannonical correlation. Multivariate classification techniques including discriminant and cluster analyses. Additional topics at the discretion of the instructor, time permitting. 


 

STA 4712 Introduction to Survival Analysis (Fall even years)
Credits: 3 Prereq: STA 4210
Survival analysis data methods including Kaplan-Meier and Nelson estimators of the survival, accelerated failure time and proportional hazards model: frailty and recurrent event models.


 
STA 4821 Stochastic Processes (Fall even years)
Credits: 3 Prereq: STA 4321 or equivalent. 
Theoretical development of elementary stochastic processes, including Poisson processes and their generalizatons, Markov chains, birth and death processes, branching processes, renewal processes, queueing processes and genetic and ecological processes. 


 
STA 4853 Introduction to Time Series and Forecasting (Spring even years)
Credits: 3 Prereq or Coreq: STA 4210 and STA 4321.
Stationarity, autocorrelation, ARMA models. Frequency domain methods, the spectral density. Forecasting methods. Computationally-oriented, applications to case studies.


STA 4905 Individual Work (Fall, Spring, Summer) 
Credits: 1 to 5 Prereq: permission of department. 
Special topics designed to meet the needs and interests of individual students. May be repeated with change of content up to a maximum of 15 credits 


 
STA 4930 Special Topics
Credits: 3 Prereq: Permission of the department chairman.
Rotating topics designed to meet the needs and interests of individual students. May be repeated with change of content up to a maximum of 15 credits. 


 

STA 4940 Internship
Credits: 1-3 Prereq: STA 4211
Supervision by a faculty member or delegated authority and a post-internship written report are required. S/U


NOTE: A Schedule of Courses is also kept by the Office of the University Registrar.



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Last modified:Thu Oct 7 10:14:56 EDT 2004