Courses - Summer 2019
STAT
Statistics and Probability
STAT100
Elementary Statistics and Probability
Credits: 3
CORE: MS
GenEd: ,
Prerequisite: MATH110, MATH112, MATH113, or MATH115; or permission of CMNS-Mathematics department; or must have math eligibility of STAT100 or higher and math eligibility is based on the Math Placement Exam or the successful completion of Math 003 with appropriate eligibility.
Restriction: Must not have completed MATH111; or must not have completed any MATH or STAT course with a prerequisite of MATH141.
Credit only granted for: STAT100, MATH107 or MATH111.
Simplest tests of statistical hypotheses; applications to before-and-after and matched pair studies. Events, probability, combinations, independence. Binomial probabilities, confidence limits. Random variables, expected values, median, variance. Tests based on ranks. Law of large numbers, normal approximation. Estimates of mean and variance.
Class has face to face meetings on Tuesday, May 28; Tuesday, June 11; Friday, June 28; and Friday, July 19; from 9:30-11:30am.
STAT400
Applied Probability and Statistics I
Credits: 3
Prerequisite: 1 course with a minimum grade of C- from (MATH131, MATH141); or students who have taken courses with comparable content may contact the department.
Credit only granted for: BMGT231, ENEE324, or STAT400.
Random variables, standard distributions, moments, law of large numbers and central limit theorem. Sampling methods, estimation of parameters, testing of hypotheses.
STAT401
Applied Probability and Statistics II
Credits: 3
Prerequisite: 1 course with a minimum grade of C- from (STAT400, STAT410).
Point estimation - unbiased and consistent estimators. Interval estimation. Minimum variance and maximum likelihood estimators. Testing of hypotheses. Regression, correlation and analysis of variance. Sampling distributions. Elements of non-parametric methods.
STAT430
Introduction to Statistical Computing with SAS
Credits: 3
Prerequisite: 1 course with a minimum grade of C- from (STAT400, STAT410).
Descriptive and inferential statistics. SAS software: numerical and graphical data summaries; merging, sorting and splitting data sets. Least squares, regression, graphics and informal diagnostics, interpreting results. Categorical data, lifetime data, time series. Applications to engineering, life science, business and social science.
STAT498A
(Perm Req)
Selected Topics in Statistics
Credits: 1 - 6
Contact department for information to register for this course.
STAT689
(Perm Req)
Research Interactions in Statistics
Credits: 1 - 3
STAT698A
(Perm Req)
Selected Topics in Probability
Credits: 1 - 4
Contact department for information to register for this course.
STAT798A
(Perm Req)
Selected Topics in Statistics
Credits: 1 - 4
Contact department for information to register for this course.
STAT799
(Perm Req)
Master's Thesis Research
Credits: 1 - 6