Applied Statistics Minor

The rush is on for data scientists who can mine data and discover the wealth that it contains. Data scientists in applied statistics collect, organize, display, analyze and infer from data. Applied statistics is doing what counts! At CBU, you will work side-by-side with full-time professors with real world experience. Using state-of-the-art computers and software, you will analyze local and global life-changing issues and apply your results to save lives and help people.

Lower Division Requirements

 

MAT245 Analytcl Geometry and Calculus I

Basic concepts of analytical geometry, limits and derivatives, differentials and rates, integration, definite and indefinite integrals, differentiation of logarithmic and exponential functions. Prerequisites: MAT 135, 145, EGR 182, or sufficient SAT, ACT or math placement exam scores and appropriate high school mathematics background. (4 units; Fall/Spring)

MAT245-A
Willett, Robert James
05/03/2021 - Online
MAT245-B
Willett, Robert James
06/28/2021 - Online
MAT245-B
Duran, Nathan Felipe
09/07/2021 T 9:30 AM - 10:30 AM Yeager Center B112
MAT245-A
Cordero, Ricardo J.
09/07/2021 Th 8:15 AM - 9:15 AM Mission Hall 109
MAT245-A
Willett, Robert James
01/10/2022 MWF 8:15 AM - 9:15 AM Health Science Campus ONLN
MAT245-B
Willett, Robert James
01/10/2022 MWF 9:30 AM - 10:30 AM Health Science Campus ONLN
MAT245-A
Willett, Robert James
05/09/2022 - Online
MAT245-B
Willett, Robert James
07/05/2022 - Online

STA144 Introduction to Statistics

Mathematical theory and applications, development of formulae, principles of statistical decision theory, descriptive measurements, probability concepts, random variables, normal distribution, inferential statistics, sampling distributions, confidence intervals, hypothesis testing, chi-squared procedures, linear regression, and the use of computers in statistics. Prerequisite: MAT 115 or sufficient SAT, ACT or math placement exam scores and appropriate high school mathematics background. (3 units; Fall/Spring)

STA144-A
Carothers, Linn E.
05/03/2021 - Online
STA144-D
Noh, Heewon Esther_AKA:_Esther_L
09/07/2021 TTh 12:15 PM - 1:45 PM Mission Hall 125
STA144-A
Carothers, Linn E.
09/07/2021 MWF 12:00 PM - 1:00 PM Yeager Center A111
STA144-C
Carothers, Linn E.
09/07/2021 MWF 2:30 PM - 3:30 PM Yeager Center A111
STA144-B
Carothers, Linn E.
09/07/2021 MWF 1:15 PM - 2:15 PM Yeager Center A111
STA144-D
Carothers, Linn E.
01/10/2022 T 12:15 PM - 1:45 PM TBA ONLN
STA144-A
Carothers, Linn E.
01/10/2022 MWF 12:00 PM - 1:00 PM Yeager Center A111
STA144-B
Carothers, Linn E.
01/10/2022 MWF 1:15 PM - 2:15 PM Yeager Center A111
STA144-C
Carothers, Linn E.
01/10/2022 MWF 2:30 PM - 3:30 PM Yeager Center A111
STA144-A
Carothers, Linn E.
05/09/2022 - Online
STA144-B
Carothers, Linn E.
07/05/2022 - Online

STA205 Applied Linear Regression

This course represents a basic concepts and methodology course in regression analysis using application of general linear regression models to real-life situations. Case studies are used to give practice in diagnosing practical problems, deciding on appropriate models, and knowing which inferential technique will answer the researcher’s questions for the purposes of description and prediction. Regression models and model building typical of problems used in the social and behavioral sciences, the natural and health sciences, and many other disciplines are covered. Prerequisite: STA 144. (3 units; Spring, even years)

STA205-A
Noh, Heewon Esther_AKA:_Esther_L
01/10/2022 TTh 10:30 AM - 12:00 PM TBA

STA210 Statistical Computing I

An introduction to data mining, management and statistical programming techniques using comprehensive and widely available tools like SAGE, SPSS, SAS and R. Students learn exploratory data analysis, coding and manipulation of variables, database management applying statistical concepts. Modeling and simulation experiments on a variety of applied data sets. Pre- or Co- Requisite: STA 144. (3 units; Fall)

STA210-A
Noh, Heewon Esther_AKA:_Esther_L
09/07/2021 TTh 10:30 AM - 12:00 PM Mission Hall 125

Upper Division Requirements

 

STA310 Mathematical Statistics I

The first semester of a two-semester course providing a systematic development of the theories of probability and statistics. Students learn and use fundamental concepts of probability models, random variables and their distributions, reduction of data, estimation, testing of hypotheses, univariate normal inference, and statistical decision theory. The first semester is required for BA and BS statistics majors of all concentrations. Prerequisites: MAT 245 and STA 144. (3 units; Fall, even years)

STA311 Mathematical Statistics II

Second semester course in a systematic development of the theories of probability and statistics. Topics include analysis of categorical data, multivariate distributions, nonparametric inference, linear models and analysis of variance. As time permits, the theory underlying Markov chain, Monte Carlo, quasi-likelihood, empirical likelihood, statistical functionals, generalized estimating equations, the jackknife, and the bootstrap are addressed. Prerequisite: STA 310. (3 units; Spring, odd years)

 

Upper Division Elective Requirements

Complete 6 units from the following:

STA303 Research and Experimental Design

This course studies experimental designs with corresponding models and analyses critical for students in the empirical sciences. Course topics include estimation, test of hypothesis, analysis of variance and a variety of topics in experimental design. Decisions and practical considerations which minimize experimental error and avoid confounding results are dealt with in real life contexts. Prerequisite: STA 144. (3 units; Fall, odd years)

STA303-A
Noh, Heewon Esther_AKA:_Esther_L
09/07/2021 TTh 3:45 PM - 5:15 PM Mission Hall 125

STA305 Sampling and Survey Methodology

Sampling theory and practice are presented in this course through a study of simple random samples, stratified random samples, cluster sampling, estimating sample size, ratio estimates, subsampling, two-state sampling and analysis of sampling error. This is a critical course for students in education and the social, medical, biological and management sciences where sampling is a fundamental step in virtually every statistical procedure and critical to meaningful survey research. Prerequisite: STA 144. (3 units; Fall, even years)

STA360 Data Visualization

This course provides the tools to create and critically evaluate data visualizations. Focus will be on statistical graphics, graphics that display statistical data. Additionally, recent advances in the field of information visualization will be covered. Prerequisite: STA 144. (3 units; Spring, even years)

STA360-A
Noh, Heewon Esther_AKA:_Esther_L
01/10/2022 T 8:45 AM - 10:15 AM TBA ONLN

STA362 Advanced Statistical Computing

A course to introduce statistical models of advanced least squares regression and standard ANOVA techniques and extensions to categorical data. Students will conceptually understand linear mixed effects models, log linear and generalized linear models for count data; and survival models for the analysis of lifetime data. In addition, students will apply these models to real data, to discern patterns and conclusions, and present their results. Prerequisites: STA 205 and STA 210. (3 units; Fall, even years)

STA364 Applied Statistical Methodology

A course in application of parametric and nonparametric single and multivariable data analytic techniques to sports. Topics will include: linear regression, correlation, confounding and interactions, variable selection, categorical predictors and outcomes, logistic regression, factor analysis, discriminant analysis, and regression techniques with longitudinal data. Prerequisite: STA 210. (3 units; Spring, odd years)