HELP 2017-2018 Undergraduate Catalog [ARCHIVED CATALOG] Statistics Contract All Courses | Print this Page

Gary Gadbury, Head

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

101 Dickens Hall
785-532-6883
Fax: 785-532-7736
E-mail: gadbury@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:

 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

• •  Statistics and Data Science B.A./B.S.

Non-Degree

• •  Statistics Minor

Courses

Statistics

• STAT 100 - Statistical Literacy in the Age of Information

  Credits: 3
  
  This course is intended for majors in non-quantitative fields. Focus will be on the development of an awareness of statistics at the conceptual and interpretative level, in the context of everyday life. Data awareness and quality, sampling, scientific investigation, decision making, and the study of relationships are included. Emphasis will be on the development of critical thinking through in-class experiments and activities, discussions, analysis of real data sets, written reports, and collaborative learning. Computing activities will be included where appropriate; no previous computing experience required.
  
  Note
  Cannot be taken for credit if credit has been received for any other statistics course.
  
  Requisites
  Prerequisite: MATH 100.
  
  UGE course
  Yes
  
  K-State 8
  Empirical and Quantitative Reasoning
  

  
  

  KSIS Course Search

  
  

• STAT 325 - Introduction to Statistics

  Credits: 3
  
  A project-oriented first course in probability and statistics with emphasis on computer analysis of data.  Examples selected primarily from social sciences, natural sciences, education and popular culture.  Descriptive statistics, probability, sampling, tests of hypothesis and confidence intervals for means and proportions, design and analysis of simple comparative studies, chi-square test for association, correlation and linear regression.  
  
  Note
  Cannot be taken for credit if credit has been received for STAT 340 or 350.
  
  Requisites
  Prerequisite: MATH 100.
  
  Typically Offered
  Fall, Spring
  
  UGE course
  Yes
  
  K-State 8
  Empirical and Quantitative Reasoning
  

  
  

  KSIS Course Search

  
  

• STAT 340 - Biometrics I

  Credits: 3
  
  A basic first course in probability and statistics with textbook, examples, and problems aimed toward the biological sciences. Frequency distributions, averages, measures of variation, probability, confidence intervals; tests of significance appropriate to binomial, multinomial, Poisson, and normal sampling; simple regression and correlation.
  
  Note
  Cannot be taken for credit if credit has been received for STAT 325 or 350.
  
  Requisites
  Prerequisite: MATH 100.
  
  Typically Offered
  Fall, Spring, Summer
  
  UGE course
  Yes
  
  K-State 8
  Empirical and Quantitative Reasoning
  

  
  

  KSIS Course Search

  
  

• STAT 341 - Biometrics II

  Credits: 3
  
  Analysis and interpretation of biological data using analysis of variance, analysis of covariance, and multiple regression. Negative binomial distribution and its applications.
  
  Requisites
  Prerequisite: STAT 325 or STAT 340 or STAT 350.
  
  Typically Offered
  Spring
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 350 - Business and Economic Statistics I

  Credits: 3
  
  A basic first course in probability and statistics with textbook, examples, and problems pointed toward business administration and economics. Frequency distributions, averages, index numbers, time series, measures of variation, probability, confidence intervals, tests of significance appropriate to binomial, multinomial, Poisson, and normal sampling; simple regression and correlation.
  
  Note
  Cannot be taken for credit if credit has been received for STAT 325 or 340.
  
  Requisites
  Prerequisite: MATH 100.
  
  Typically Offered
  Spring
  
  UGE course
  Yes
  
  K-State 8
  Empirical and Quantitative Reasoning
  

  
  

  KSIS Course Search

  
  

• STAT 351 - Business and Economic Statistics II

  Credits: 3
  
  Continuation of STAT 350 including study of index numbers, time series, business cycles, seasonal variation, multiple regression and correlation, forecasting; some nonparametric methods applicable in business and economic studies.
  
  Requisites
  Prerequisite: STAT 325, 340 or 350.
  
  Typically Offered
  Fall, Spring, Summer
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 399 - Honors Seminar in Statistics

  Credits: 3
  
  Selected topics.
  
  Note
  May be used to satisfy quantitative requirements for BS degree. Open only to students in the honors program.
  
  Typically Offered
  Fall, Spring, Summer
  
  UGE course
  Yes
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 410 - Probabilistic Systems Modeling

  Credits: 3
  
  Descriptive statistics and graphical methods; basic probability; probability distributions; several random variable; Poisson processes; computer simulation of random phenomena; confidence interval estimation; hypothesis testing.
  
  Requisites
  Prerequisite: MATH 221 and CIS 300.
  
  Typically Offered
  Spring
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 490 - Statistics for Engineers

  Credits: 1
  
  First course in statistics with examples and problems toward engineering. Distributions, means, measures of variation, confidence intervals, graphical display of data, simple regression and correlation, philosophy of experimentation.
  
  Note
  Must be taken concurrent with a laboratory course in engineering which uses statistics.
  
  Typically Offered
  Fall, Spring
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 491 - Statistics for Engineers II

  Credits: 1
  
  A continuation of STAT 490. Offered second half of the semester following STAT 490. Statistical tests, multiple regression, model fitting, simple comparative and factorial experiments. Emphasis on computer analysis of data.
  
  Requisites
  Prerequisite: STAT 490.
  
  Typically Offered
  Fall, Spring
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 499 - Honors Project

  Credits: 3
  
  Open only to Arts and Science students who are active members of the University Honors Program.
  
  Typically Offered
  Fall, Spring, Summer
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 510 - Introductory Probability and Statistics I

  Credits: 3
  
  Descriptive statistics, probability concepts and laws, sample spaces; random variables; binomial, uniform, normal, and Poisson; two-dimensional variates; expected values; confidence intervals; binomial parameter, median, mean, and variance; testing simple hypotheses using CIs and X²; goodness of fit. Numerous applications.
  
  Requisites
  Prerequisite: MATH 221.
  
  Typically Offered
  Fall, Spring
  
  UGE course
  No
  
  K-State 8
  Empirical and Quantitative Reasoning
  

  
  

  KSIS Course Search

  
  

• STAT 511 - Introductory Probability and Statistics II

  Credits: 3
  
  Law of Large Numbers, Chebycheff’s Inequality; continuation of study of continuous variates; uniform, exponential, gamma, and beta distribution; Central Limit Theorem; distributions from normal sampling; introduction to statistical inference.
  
  Requisites
  Prerequisite: STAT 510.
  
  Typically Offered
  Spring
  
  UGE course
  No
  
  K-State 8
  Empirical and Quantitative Reasoning
  

  
  

  KSIS Course Search

  
  

• STAT 701 - Fundamental Methods of Biostatistics

  Credits: 3
  
  A course emphasizing concepts and practice of statistical data analysis for the health sciences.  Basic techniques of descriptive and inferential statistical methods applied to health related surveys and designed experiments.  Populations and samples, parameters and statistics; sampling distributions for hypothesis testing and confidence intervals for means and proportions involving one sample, paired samples and multiple independent samples; odds ratios, risk ratios, simple linear regression.  Use of statistical software to facilitate the collection, manipulation, analysis and interpretation of  health related data.
  
  Typically Offered
  Fall, Spring, Summer
  
  Cross-listed
  MPH 701
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 703 - Introduction to Statistical Methods for the Sciences

  Credits: 3
  
  Statistical concepts and methods applied to experimental and survey research in the sciences; tests of hypotheses, parametric and rank tests; point estimation and confidence intervals; linear regression; correlation; one-way analysis of variance; contingency tables, chi-square tests.
  
  Requisites
  Prerequisite: Junior standing and equivalent of college algebra.
  
  Typically Offered
  Fall, Spring, Summer
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 705 - Regression and Analysis of Variance

  Credits: 3
  
  Simple and multiple linear regression, analysis of covariance, correlation analysis, one-, two- and three-way analysis of variance; multiple comparisons; applications including use of computers; blocking and random effects.
  
  Requisites
  Prerequisite: One previous statistics course.
  
  Typically Offered
  Fall, Spring, Summer
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 706 - Basic Elements of Statistical Theory

  Credits: 3
  
  The mathematical representation of frequency distributions, their properties, and the theory of estimation and hypothesis testing. Elementary mathematical functions are used to illustrate theory.
  
  Requisites
  Prerequisite: MATH 205, 210 or 220 and STAT 325 or equivalent.
  
  Typically Offered
  Fall
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 710 - Sample Survey Methods

  Credits: 3
  
  Design, conduct, and interpretation of sample surveys.
  
  Requisites
  Prerequisite: STAT 510 or 770.
  
  Typically Offered
  Fall, in even years
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 713 - Applied Linear Statistical Models

  Credits: 3
  
  Matrix-based regression and analysis of variance procedures at a mathematical level appropriate for a first-year graduate statistics major. Topics include simple linear regression, linear models in matrix form, multiple linear regression, model building and diagnostics, analysis of covariance, multiple comparison methods, contrasts, multifactor studies.
  
  Requisites
  Prerequisite: Prior knowledge of matrix or linear algebra and one prior course in statistics. A student may not receive credit for both the STAT 705 sequence and STAT 713.
  
  Typically Offered
  Fall
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 716 - Nonparametric Statistics

  Credits: 3
  
  Hypothesis testing when form of population sampled is unknown: rank, sign, chi-square, and slippage tests; Kolmogorov and Smirnov type tests; confidence intervals and bands.
  
  Requisites
  Prerequisite: STAT 705 or STAT 713.
  
  Typically Offered
  Fall, odd years
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 717 - Categorical Data Analysis

  Credits: 3
  
  Analysis of categorical count and proportion data. Topics include tests of association in two-way tables; measures of association; Cochran-Mantel-Haenzel tests for 3-way tables; generalized linear models; logistic regression; loglinear models.
  
  Requisites
  Prerequisite: STAT 705 or STAT 713.
  
  Typically Offered
  Spring
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 720 - Design of Experiments

  Credits: 3
  
  Planning experiments so as to minimize error variance and avoid bias; Latin squares; split-plot designs; switch-back or reversal designs; incomplete block designs; efficiency.
  
  Requisites
  Prerequisite: STAT 705 or STAT 713.
  
  Typically Offered
  Spring, Summer
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 722 - Statistical Designs for Product Development and Process Improvement

  Credits: 3
  
  A study of statistically designed experiments which have proven useful in product development and process improvement. Topics include randomization, blocking, factorial treatment structures, factional factorial designs, screening designs, and response surface methods.
  
  Requisites
  Prerequisite: STAT 705 or STAT 511 or STAT 713.
  
  Typically Offered
  Fall
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 725 - Introduction to the SAS Computing

  Credits: 1
  
  Topics may include basic environment and syntax, reading and importing data from files, writing and exporting data to files, data manipulation, basic graphics, and built-in and user-defined functions.
  
  Requisites
  Prerequisite: One graduate level course in statistics.
  
  Typically Offered
  Fall
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 726 - Introduction to R Computing

  Credits: 1
  
  Topics may include basic environment and syntax, reading and importing data from files, data manipulation, basic graphics, and built-in and user-defined functions.
  
  Requisites
  Prerequisite: One graduate level course in statistics.
  
  Typically Offered
  Fall
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 730 - Multivariate Statistical Methods

  Credits: 3
  
  Multivariate analysis of variance and covariance; classification and discrimination; principal components and introductory factor analysis; canonical correlation; digital computing procedures applied to data from natural and social sciences.
  
  Requisites
  Prerequisite: STAT 705 or STAT 713.
  
  Typically Offered
  Spring
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 736 - Bioassay

  Credits: 2
  
  Direct assays; quantitative dose-response models; parallel line assays; slope ratio assays; experimental designs for bioassay; covariance adjustment; weighted estimates; assays based on quantal responses.
  
  Note
  Meets four times a week during second half of semester.
  
  Requisites
  Prerequisite: STAT 705 or STAT 713.
  
  Typically Offered
  Spring, odd years
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 745 - Statistical Graphics

  Credits: 3
  
  Visual display of quantitative information. Statistical graphics topics to include visual perception, basic graphics construction, quantitative univariate to multivariate statistical graphics, trellis displays, introduction to smoothing and graphics, introduction to density estimation and graphics, and categorical graphics. Modern graphics software will be used.
  
  Requisites
  Prerequisite: STAT 705 or equivalent.
  
  Typically Offered
  Spring, even years
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 750 - Studies in Probability and Statistics

  Credits: 1-4
  
  Studies of topics in probability, statistics, experimental design, stochastic processes, or other topics.
  
  Repeat for Credit
  May be repeated.
  
  Requisites
  Prerequisite: Instructor consent.
  
  Typically Offered
  On demand
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 770 - Theory of Statistics I

  Credits: 3
  
  Probability models, concepts of probability, random discrete variables, moments and moment generating functions, bivariate distributions, continuous random variables, sampling. Central Limit Theorem, characteristic functions. More emphasis on rigor and proofs than in STAT 510 and 511.
  
  Requisites
  Prerequisite: MATH 222.
  
  Typically Offered
  Fall
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 771 - Theory of Statistics II

  Credits: 3
  
  Introduction to multivariate distributions; sampling distributions, derivation, and use; estimation of parameters, testing hypothesis; multiple regression and correlation; simple experimental designs; introduction to nonparametric statistics; discrimination.
  
  Requisites
  Prerequisite: STAT 770.
  
  Typically Offered
  Spring
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

• STAT 799 - Topics in Statistics

  Credits: 0-3
  
  Note
  May be repeated.
  
  Requisites
  Prerequisite: Consent of instructor.
  
  Typically Offered
  Fall, Spring, Summer
  
  UGE course
  No
  
  K-State 8
  None
  

  
  

  KSIS Course Search

  
  

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