Statistics

Undergraduate Programs

Majors

Program Locations Total Credits
Statistics BS BS - Bachelor of Science
  • Mankato
120
Statistics BS Actuarial Track BS - Bachelor of Science
  • Mankato
120

Minors

Program Locations Total Credits
Statistics Minor
21

Policies & Faculty

Policies

Admission to Major. Admission is granted by the Department. Admission requirements are:

  • A minimum of 32 earned semester credit hours and a 2.0 minimum cumulative GPA
  • Completion of 10 credits of mathematics and statistics counting towards the Major with a 2.5 GPA or higher.

Contact the College of Science, Engineering and Technology Student Relations Office for application procedures.

GPA Policy. Statistics majors and minors must earn a grade of “C” (2.0) or better in all courses applied to the major or minor.

Course Application Policy. Within each major or minor, no course may be applied to more than one requirement.

P/N Grading Policy. All 300- and 400-level courses are offered for grade only with the exception of STAT 498 and STAT 499 which are available for both P/N and letter grade.

Credit by Examination. Credit by examination will not be approved for courses in which a student has already received a grade.

Policy: Students seeking enrollment in Math 112: College Algebra or Math 201: Elements of Mathematics must demonstrate readiness to succeed in the course through one of the following means:

  • ACT mathematics sub-score of 22 or higher, or
  • ACCUPLACER Intermediate Algebra Test score of 60 or higher 

Students not meeting one of these requirements are placed in Math 098: Intermediate Algebra.

Students seeking enrollment in courses beyond those listed above must demonstrate readiness to succeed in the course through one of the following means: ACT score, SAT score, ACCUPLACER score(s), or satisfactory completion (i.e. grade of C or better) of prerequisite coursework, according to the chart below.

 

 
Course Minimum
ACT/SAT
Math
Subscore
  Minimum
Accuplacer
Intermediate
Algebra
Score
  Minimum
Accuplacer
College-Level
Math
Score
  Minimum
Accuplacer
Calculus
Readiness
Score
  Course
Prerequisites
 MATH 112 ACT 22, Old SAT 520, New SAT* 550, 2-digit SAT 27.5** OR 60   N/A   N/A OR Grade of P in MATH 098
MATH 113 ACT 22, Old SAT 520, New SAT* 550, 2-digit SAT 27.5** OR 60 AND 84   N/A OR MATH 112 with "C" (2.0) or better
MATH 115  ACT 23, Old SAT 530 New SAT* 560, 2-digit SAT 28** OR 60 AND 96   N/A OR Grade of P in MATH 098
MATH 121 ACT 24, Old SAT 560 New SAT* 580, 2-digit SAT 29** OR 60 AND 84 AND 21 OR MATH 115, or both MATH 112 and MATH 113 with a "C" (2.0) or better
MATH 130 ACT 23, Old SAT 530 New SAT* 560, 2-digit SAT 28** OR 60 AND 84   N/A OR MATH 112 or MATH 115 with a "C" (2.0) or better
MATH 181 ACT 23, Old SAT 530 New SAT* 560, 2-digit SAT 28** OR 60 AND 84   N/A OR MATH 112 or MATH 115 with a "C" (2.0) or better
MATH 201 ACT 22, Old SAT 520, New SAT* 550, 2-digit SAT OR 60   N/A   N/A OR Grade of P in Math 098 or "C" (2.0) or better in MATH 112 or MATH 115
Stat 154 ACT 19, Old SAT 460, New SAT* 500 2-digit SAT 25** OR 60   N/A   N/A OR Grade of P in Math 098, or “C” (2.0) or better in Math 112, Math 115, or Math 121

Students who earned an SAT Math score of 530 or higher are eligible to place in MATH 112 as a minimum. Please contact the Department of Mathematics & Statistics for further placement information when using SAT scores.

Students who earned a Minnesota Comprehensive Assessment (MCA) score of 1158 or higher are eligible to place in Math 112 as a minimum. An earned MCA score of 1148 or higher is eligible to place in STAT 154. Please contact the Department of Mathematics & Statistics for further placement information when using MCA scores.

Procedures: Students may substitute for the above requirements based on documentation of:

  1. equivalent or higher scores on standardized college admissions tests, such as SAT quantitative scores, that report a separate mathematics sub-score within two calendar years;
  2. successful completion of equivalent prior post-secondary education, such as course transfer evaluations or Cambridge International Examinations; or
  3. enrollment exclusively in non-credit courses or programs.

Substitutions. Students requesting such substitutions should submit the documentation to the Chair of the Department of Mathematics and Statistics for evaluation. The evaluation will be based on nationally accepted concordances between the testing instruments and/or courses. The Chair of the Department of Mathematics and Statistics or designee should respond in writing to student requests within three weeks of receiving them.

Procedure for Waiver:

  1. Students not meeting the requirements for enrollment in Math 112, Math 201 or Stat 154 may request a waiver to this policy.
     
  2. Written requests for waivers to the policy must be submitted to the Chair of the Department of Mathematics and Statistics, and should include evidence of alternate means of demonstrating readiness for college algebra including but not limited to:
    a. High school or recent post-secondary coursework which would indicate adequate preparation (transcripts or other records which include course titles, levels and grades are acceptable), or
    b. Verification of extenuating circumstances which may have affected performance on previous exams.
     
  3. Requests for waivers should be submitted by the following deadlines:
    a. August 5th for fall semester enrollment,
    b. December 1st for spring semester enrollment, and
    c. May 1st for summer session enrollment.
     
  4. The Chair of the Department of Mathematics and Statistics or designee should respond in writing to student requests within three weeks of receiving them.
     
  5. Students whose initial requests are denied may submit a written appeal to the Dean of the College of Science, Engineering and Technology. The Dean should respond in writing, with a copy to the Chair of the Department of Mathematics and Statistics.
     
  6. The Dean’s decision is the final step in this appeal process

Policy Rationale: The purpose of the policy is to place students in a course that is developmentally appropriate to help ensure their long term success. Data suggests students not meeting these guidelines have a higher likelihood of having to repeat a course.

Contact Information

273 Wissink Hall 

Office (507) 389-1453
https://cset.mnsu.edu/mathstat/

Faculty

100 Level

Credits: 4

An introduction to statistical concepts and methods that is applicable to all disciplines. Topics include descriptive measures of data, probability and probability distributions, statistical inference, tests of hypotheses, confidence intervals, correlation, linear regression, and analysis of variance. The use of statistical software will be emphasized. Prereq: ACT Math sub-score of 19 or higher, successful completion of MATH 098 or appropriate placement scores (see Placement Information under Statistics) Fall, Spring, Summer GE-4

Prerequisites: Satisfy Placement Table in this section, or MATH 098 with grade of P. 

Goal Areas: GE-02, GE-04

200 Level

Credits: 3

An introduction to statistics with emphasis on the applied probability models used in Science and Engineering. Topics covered include samples, probability, probability distributions, estimation, one and two samples hypotheses tests, correlation, simple and multiple linear regressions.

Prerequisites: MATH 112 with grade of “C” (2.0) or better 

300 Level

Credits: 4

A calculus based introduction to probability and statistics. Topics include probability, random variables, probability distributions (discrete and continuous), joint probability distributions (discrete and continuous), statistical inference (both estimation and hypothesis testing), confidence intervals for distribution of parameters and their functions, sample size determinations, analysis of variance, regression, and correlation. This course meets the needs of the practitioner and the person who plans further study in statistics. Same as MATH 354. Prereq: MATH 122 with C or better or consent Fall, Spring, Summer

Prerequisites: MATH 122 with C or better or consent 

Credits: 3

Introduction to basic programming techniques: creating DATA and PROC statements, libraries, functions, programming syntax, and formats. Descriptive and Inferential statistics in SAS. Emphasis is placed on using these tools for statistical analyses. Working with arrays, loop and SAS macro.

Prerequisites: STAT 154 or instructor’s approval

Credits: 0

Curricular Practical Training: Co-Operative Experience is a zero-credit full-time practical training experience for one semester and an adjacent fall or spring term. Special rules apply to preserve full-time student status. Please contact an advisor in your program for complete information.

Prerequisites: At least 60 credits earned; in good standing; instructor permission; co-op contract; other prerequisites may also apply.

400 Level

Credits: 3

Simple and multiple linear regression, model adequacy checking and validation, identification of outliers, leverage and influence, polynomial regression, variable selection and model building strategies, nonlinear regression, and generalized linear regression.

Prerequisites: MATH 354 / STAT 354 or STAT 455 with “C” (2.0) or better or consent 

Credits: 3

Randomized complete block design, Latin squares design, Graco- Latin squares design, balanced incomplete block design, factorial design, fractional factorial design, response surface method, fixed effects and random effects models, nested and split plot design.

Prerequisites: MATH 354 / STAT 354 or STAT 455 with “C” (2.0) or better or consent 

Credits: 4

A mathematical approach to statistics with derivation of theoretical results and of basic techniques used in applications. Includes probability, continuous probability distributions, multivariate distributions, functions of random variables, central limit theorem and statistical inference. Same as MATH 455. Prereq: MATH 223 with C or better or consent

Prerequisites: MATH 223 with “C” (2.0) or better or consent

Credits: 4

A mathematical approach to statistics with derivation of theoretical results and of basic techniques used in applications, including sufficient statistics, additional statistical inference, theory of statistical tests, inferences about normal models and nonparametric methods. Same as MATH 456. Prereq: MATH/STAT 455 with C or better or consent

Prerequisites: MATH 455, STAT 455 with “C” (2.0) or better or consent

Credits: 3

Sampling distributions: means and variances. Bias, robustness and efficiency. Random sampling, systematic sampling methods including stratified random sampling, cluster sampling and two-stage sampling, ratio, regression, and population size estimation. Suitable statistical software is introduced, for example, MATLAB, R, SAS, etc.

Prerequisites: MATH 354, STAT 354 or STAT 154 with “C” (2.0) or better or consent 

Credits: 3

Forms of multivariate analysis for discrete data, two dimensional tables, models of independence, log linear models, estimation of expected values, model selection, higher dimensional tables, logistic models and incompleteness. Logistic regression. Suitable statistical software is introduced, for example, MATLAB, R, SAS etc.

Prerequisites: MATH 354, STAT 354 or STAT 154 with “C” (2.0) or better or consent 

Credits: 3

Derivation and usage of nonparametric statistical methods in univariate, bivariate, and multivariate data. Applications in count, score, and rank data, analysis of variance for ranked data. Nonparametric regression estimation. Suitable statistical software is introduced, for example, MATLAB, R, SAS, etc.

Prerequisites: MATH 354, STAT 354 or STAT 154 with “C” (2.0) or better or consent 

Credits: 1-3

The study of a particular topic primarily based upon recent literature. May be repeated for credit on each new topic.

Prerequisites: none

Credits: 1-4

A course designed to upgrade the qualifications of persons on-the-job. May be repeated for credit on each new topic.

Prerequisites: none

Credits: 3

This course is designed to allow undergraduate students an opportunity to integrate their statistics experiences by engaging each student in working on problems in applied or theoretical statistics. Spring

Prerequisites: STAT 457, STAT 458, STAT 459, STAT 450 (at least two of these)

Credits: 1-4

A course in an area of statistics not regularly offered. May be repeated for credit on each new topic.

Prerequisites: none

Credits: 1-12

Provides a student the opportunity to gain expertise and experience in a special field under the supervision of a qualified person.

Prerequisites: none

Credits: 1-4

Independent individual study under the guidance and direction of a faculty member. Special arrangements must be made with an appropriate faculty member. May be repeated for credit of each new topic.

Prerequisites: none