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. Prerequisite: MAT 135, 145, EGR 182, or sufficient SAT, ACT or math placement exam scores and appropriate high school mathematics background. (4 units; Fall/Spring)

Nielsen Hernandez, Michelle
01/09/2019 MWF 9:30 AM - 10:30 AM Mission Hall ONLN
Nielsen Hernandez, Michelle
01/09/2019 MWF 8:15 AM - 9:15 AM Mission Hall ONLN
Willett, Robert James
05/06/2019 MTWTh 10:30 AM - 12:00 PM TBA

MAT255 Anlytcl Geometry and Calculus II

Continued study and applications of integration: volumes, lengths, surface of revolution; derivatives and integrals involving trigonometric functions, infinite series, expansion of functions, hyperbolic functions, law of the mean, partial fractions, polar coordinates, and conic sections. Prerequisite: MAT 245. (4 units; Fall/Spring)

Sill, Michael R.
01/09/2019 MWF 2:30 PM - 3:30 PM Yeager Center ONLN
Willett, Robert James
01/09/2019 MWF 8:15 AM - 9:15 AM BUS ONLN

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)

Knisley, Benjamin David
01/09/2019 TTh 5:30 PM - 7:00 PM Health Science Campus L248
Carothers, Linn E.
01/09/2019 MWF 1:15 PM - 2:15 PM BUS 203
Carothers, Linn E.
01/09/2019 MWF 12:00 PM - 1:00 PM BUS 124
05/06/2019 - Online
07/01/2019 - 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)

Carothers, Linn E.
03/04/2019 MW 11:00 AM - 11:50 AM Instructor ONLN

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. Prerequisites: STA 144. (3 units; Fall odd years)

Upper Division Requirements

MAT353 Probability and Statistics

A calculus based course covering discrete and continuous distributions, expectations, the normal distribution, the central limit theorem, the binomial distribution, and various topics in statistical theory such as point estimation, hypothesis testing, and linear regression. Prerequisite: MAT 245. (3 units; Fall)

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)

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. (3 units, Fall even years)

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. Prerequisite: MAT 353. (3 units; Fall even years)