All Current Term Statistics Courses

Fall 2023

This data is offered for your convenience only. The schedule data is updated regularly and may not reflect recent changes to the Schedule of Classes. For full, up-to-date course information please contact the Registrar's office

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STAT 345 - Elements of Math Stat & Prob

An introduction to probability including combinatorics, Bayes' theorem, probability densities, expectation, variance and correlation. An introduction to estimation, confidence intervals and hypothesis testing. Prerequisite: MATH 1440 or MATH 1522.

SectionTime/LocationInstructorCreditsSeats OpenNotes
005T R
0930-1045
Dane Smith Hall 129
Patrick Denne34Rescheduled from CRN 76798 STAT 345 001.
006T R
1630-1745
Dane Smith Hall 223
Jared DiDomenico33Rescheduled from CRN 47386 STAT 345 003.
007T R
1100-1215
Dane Smith Hall 225
Jared DiDomenico30Rescheduled from CRN 76799 STAT 345 004.

STAT 427 - Advanced Data Analysis I

Statistical tools for scientific research, including parametric and non-parametric methods for ANOVA and group comparisons, simple linear and multiple linear regression, and basic ideas of experimental design and analysis. Emphasis placed on the use of statistical packages such as Minitab and SAS. Prerequisite: MATH 1350.

SectionTime/LocationInstructorCreditsSeats OpenNotes

STAT 434 - Contingency Tables

This course examines the use of log-linear models to analyze count data. It also uses graphical models to examine dependence structures for both count data and measurement data. Prerequisite: **345 and 427.

SectionTime/LocationInstructorCreditsSeats OpenNotes

STAT 440 - Regression Analysis

Simple regression and multiple regression. Residual analysis and transformations. Matrix approach to general linear models. Model selection procedures, nonlinear least squares, logistic regression. Computer applications. Prerequisite: 427. {Fall}

SectionTime/LocationInstructorCreditsSeats OpenNotes
002T R
1230-1345
Dane Smith Hall 327
Fletcher Christensen35Rescheduled from CRN 13679 STAT 440 001.

STAT 461 - Probability

(Also offered as MATH 441) Mathematical models for random experiments, random variables, expectation. The common discrete and continuous distributions with application. Joint distributions, conditional probability and expectation, independence. Laws of large numbers and the central limit theorem. Moment generating functions. Prerequisite: MATH 2531.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1100-1215
Dane Smith Hall 229
James Degnan38See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.

STAT 474 - Bio Statistics

A detailed overview of methods commonly used to analyze medical and epidemiological data. Topics include the Kaplan-Meier estimate of the survivor function, models for censored survival data, the Cox proportional hazards model, methods for categorical response data including logistic regression and probit analysis, generalized linear models. Prerequisite: 428 or 440.

SectionTime/LocationInstructorCreditsSeats OpenNotes
002T R
1400-1515
Dane Smith Hall 228
James Degnan332Rescheduled from CRN 76457 STAT 474 001.

STAT 479 - T:

Modern topics not covered in regular course offerings.

SectionTime/LocationInstructorCreditsSeats OpenNotes

STAT 495 - Individual Study

Guided study, under the supervision of a faculty member, of selected topics not covered in regular course offerings.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001Ronald Christensen1 TO 325
002Erik Erhardt1 TO 325
003Charles Wiggins1 TO 325
004Huining Kang1 TO 325
005James Degnan1 TO 325

STAT 527 - Advanced Data Analysis I

Statistical tools for scientific research, including parametric and non-parametric methods for ANOVA and group comparisons, simple linear and multiple linear regression and basic ideas of experimental design and analysis. Emphasis placed on the use of statistical packages such as Minitab and SAS. Course cannot be counted in the hours needed for graduate degrees in Mathematics and Statistics. Prerequisite: MATH 1350.

SectionTime/LocationInstructorCreditsSeats OpenNotes

STAT 534 - Contingency Tables

This course examines the use of log-linear models to analyze count data. It also uses graphical models to examine dependence structures for both count data and measurement data. Prerequisite: **345 and 427.

SectionTime/LocationInstructorCreditsSeats OpenNotes

STAT 540 - Regression Analysis

Simple regression and multiple regression. Residual analysis and transformations. Matrix approach to general linear models. Model selection procedures, nonlinear least squares, logistic regression. Computer applications. Prerequisite: 527. {Fall}

SectionTime/LocationInstructorCreditsSeats OpenNotes
002T R
1230-1345
Dane Smith Hall 327
Fletcher Christensen32Rescheduled from CRN 13814 STAT 540 001.

STAT 546 - Theory of Linear Models

Theory of the Linear Models discussed in 440/540 and 445/545. Linear spaces, matrices, projections, multivariate normal distribution and theory of quadratic forms. Non-full rank models and estimability. Gauss-Markov theorem. Distribution theory for normality assumptions. Hypothesis testing and confidence regions. Prerequisite: 553, 545, linear algebra. {Alternate Falls}

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1230-1345
Science Math Learning Center 356
Ronald Christensen326

STAT 556 - Adv Statistical Inference I

Theory and methods of point estimation, sufficiency and its applications. Prerequisite: 553, 561 and MATH 510. {Alternate Falls}

SectionTime/LocationInstructorCreditsSeats OpenNotes

STAT 561 - Probability

(Also offered as MATH 441) Mathematical models for random experiments, random variables, expectation. The common discrete and continuous distributions with application. Joint distributions, conditional probability and expectation, independence. Laws of large numbers and the central limit theorem. Moment generating functions. Prerequisite: MATH 2531.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1100-1215
Dane Smith Hall 229
James Degnan30See schedule for designated remote times; log in to course on UNMLearn (and/or platform designated by instructor) for remote meetings at designated times and for completion of course work. No online fee.

STAT 569 - Select Top in Probability Theo

A course exploring a topic not covered by the standard curriculum but of interest to faculty and students in a particular semester. (Also offered as MATH 549)

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1400-1515
Science Math Learning Center 352
Anna Skripka320

STAT 574 - Bio Statistics

A detailed overview of methods commonly used to analyze medical and epidemiological data. Topics include the Kaplan-Meier estimate of the survivor function, models for censored survival data, the Cox proportional hazards model, methods for categorical response data including logistic regression and probit analysis, generalized linear models. Prerequisite: 528 or 540.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001T R
1400-1515
Dane Smith Hall 228
James Degnan314

STAT 579 - Sel T:

A course exploring a topic not covered by the standard curriculum but of interest to faculty and students in a particular semester.

SectionTime/LocationInstructorCreditsSeats OpenNotes

STAT 595 - Problems

Individual research into an area proposed by the student and conducted under the direction of a faculty member.

SectionTime/LocationInstructorCreditsSeats OpenNotes
002
-

James Degnan1 TO 33
003
-

Ronald Christensen1 TO 39
004
-

Fletcher Christensen1 TO 34
005
-

Erik Erhardt1 TO 38Statistics Education Practicum. Rescheduled from CRN 55072 STAT 595 001.
006
-

Erik Erhardt1 TO 310

STAT 599 - Masters Thesis

Faculty-supervised investigative study that results in the development and writing of a master’s thesis. Offered on a CR/NC basis only.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001Ronald Christensen1 TO 625
002Erik Erhardt1 TO 625
003Helen Wearing1 TO 624
004Yan Lu1 TO 625
005James Degnan1 TO 623
006
-

Fletcher Christensen1 TO 610

STAT 649 - Sem Probability & Statistics

(Also offered as MATH 649) Course emphasizes investigation, evaluation, and discussion of areas of specialized knowledge or inquiry relevant to the profession or field of study.

SectionTime/LocationInstructorCreditsSeats OpenNotes

STAT 650 - Reading and Research

A faculty-supervised course culminating in a comprehensive paper or research proposal that integrates knowledge attained through coursework, research, and experience.

SectionTime/LocationInstructorCreditsSeats OpenNotes
001Yan Lu1 TO 625
002Huining Kang1 TO 625
004Ronald Christensen1 TO 625
005Li Luo1 TO 625
006Guoyi Zhang1 TO 624
007
-

James Degnan1 TO 625
008
-

Fletcher Christensen1 TO 69

STAT 699 - Dissertation

Faculty-supervised investigative study that results in the development and writing of a doctoral dissertation. Offered on a CR/NC basis only.

SectionTime/LocationInstructorCreditsSeats OpenNotes
002James Degnan3 TO 1223
003Ronald Christensen3 TO 1225
004Erik Erhardt3 TO 1225
005Yan Lu3 TO 1225
006Abdullah Mueen3 TO 1225
009
-

Guoyi Zhang3 TO 1225
001
-

Fletcher Christensen3 TO 126