Mar 29, 2024  
2020-2021 Undergraduate Catalog 
    
2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]

Statistics


Christopher Vahl, Head

Professors: Neill, Wang, and Song 
Associate Professors: Bello, Du, Hsu, Reyes Cuellar, and Vahl
Assistant Professors: Goh, Hefley, Higgins, Kang, Mu, and Wu
Teaching Associate Professor: Jager
Teaching Assistant Professor: Keating
Instructors: Sawant
Emeriti Professors: Boyer, Gadbury, Higgins, Johnson, Kemp, Milliken, and Nelson

101 Dickens Hall
785-532-6883
E-mail: statdept@k-state.edu
www.k-state.edu/stats

Statistics is a combination of classical mathematics, the theory of probability, and new concepts related to inductive reasoning that have developed during the past 75 years.

Almost all activities of plants and animals (including people) depend to some degree on chance events, and most decisions made by people depend on sampling information–which also depends on chance events, and hence on probability. Consequently, fields of interest and activities for a statistician potentially are very broad.

Likewise, the professional activities open to a trained statistician are varied. The existence of modern-day computers relieves the statistician of tedious computations and elevates his or her professional activity to dealing with people and/or engaging in basic research.

Students who major in statistics may seek a bachelor of arts degree or a bachelor of science degree by satisfying the general requirements of that degree and by completing the following:

Courses Course Title Credit hours
MATH 220  Analytic Geometry and Calculus I 4
MATH 221  Analytic Geometry and Calculus II 4
MATH 222  Analytic Geometry and Calculus III 4
CIS 200  Programming Fundamentals 4
or    
CIS 111  Introduction to Computer Programming 3
or    
CIS 209  C Programming for Engineers 3
MATH 551  Applied Matrix Theory 3
or    
MATH 515  Introduction to Linear Algebra 3
ENGL 516  Written Communication for the Sciences 3
STAT 325  Introduction to Statistics 3
or    
STAT 340  Biometrics I 3
or    
STAT 350  Business and Economic Statistics I 3
STAT 341  Biometrics II 3
or    
STAT 351  Business and Economic Statistics II 3
Note: STAT courses at the 400 level or higher may replace either or both of the 300-level STAT courses, but credit may be received for only one of STAT 701 or STAT 703.    
STAT 610  Introduction to Mathematical Statistics I 3
STAT 611 Introduction to Mathematical Statistics II 3
STAT 510 or STAT 770 may replace STAT 610, and STAT 511 or STAT 771 may replace STAT 611, subject to department approval.    
STAT 705  Regression and Correlation Analyses 3
or    
STAT 713  Applied Linear Statistical Models 3
STAT 710  Sample Survey Methods 3
or    
STAT 720  Design of Experiments 3
or    
STAT 722  Statistical Designs for Product Development and Process Improvement 3
STAT 725  Introduction to the SAS Computing 1
STAT 726  Introduction to R Computing 1
One additional STAT course at 700 level (excluding STAT 701 and SAT 703).   3

 Upper-division quantitative electives to give a total of 50 credit hours. Courses must be at the 400 level or above, and may include IMSE 541, IMSE 785, ECON 630, math, computer science, statistics (excluding STAT 701 and STAT 703), or course in other area with substantial quantitative content.

A minimum grade of C in each STAT courses taken as part of the major is required for graduation.

Dual majors and dual degrees

Students may major in statistics and another discipline within the College of Arts and Sciences. The degree requirements of both departments must be met. For instance, it is possible to complete a dual statistics-mathematics degree in four years.

Students may obtain a dual degree in statistics and a field in another college such as business administration or engineering. The degree requirements of both colleges must be met and a minimum of 150 credit hours must be completed. Students who choose this option should complete the calculus sequence by the end of the sophomore year.


 

Programs

Bachelor of Arts/Bachelor of Science

Concurrent

Non-Degree

Courses

Statistics