Listing of Course
Designations & Rubrics

**Experimental Statistics - EXST**

*General education courses are marked with stars ()*.

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****2000 Introduction to Microcomputers (3) F,S,Su** *2 hrs. lecture; 2 hrs.
lab*. A user-oriented introduction to microcomputers and applications
software; terminology; hardware; software: DOS, word processing, spreadsheets,
data management, graphics, communications, integrated software, desktop
publishing.

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****2095 Introduction to Scientific Sampling (3) V** *Prereq.: MATH 1020/1021
or equivalent. 2 hrs. lecture; 2 hrs. lab*. Concept of sampling; requirements
for a valid sample, simple random sampling, stratified sampling, systematic
sampling, cluster sampling.

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****2201
Introduction to Statistical Analysis (4) F,S** *3 hrs. lecture; 2 hrs. lab.
Prereq.: MATH 1020/1021 or equivalent*. Descriptive statistics; inferential
statistical methods including confidence interval estimation and hypothesis
testing for one and two population means and proportions; one-way analysis of
variance; simple linear regression and correlation; analysis of categorical
data.

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****3001 Exploratory Statistical Data Analysis (3) V** *Prereq.: MATH
1020/1021 or equivalent. 2 hrs. lecture; 2 hrs. lab*. Graphical analysis,
perception, and construction rules; descriptive statistics; graphs for data
exploration and decision making.

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****4001
Statistical Methods (4) F,S** *Prereq.: MATH 1020/1021 or equivalent. 3 hrs.
lecture; 2 hrs. lab*. Survey of applied statistics; descriptive statistics,
statistical inference, analysis of variance, and linear correlation and
regression.

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****4002 Principles and Theory of Statistics (4) F** *3 hrs. lecture; 2 hrs.
lab. Prereq.: EXST 4001 or equivalent and MATH 1020/1021 or equivalent*.
Probability distributions as models for real-world processes; sampling
distributions and the central limit theorem; estimation and confidence region
methods; principles of hypothesis testing; and modeling; links between theory,
methodology, and application emphasized.

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****4085 Seminar in Statistics (1) V** *Prereq.: consent of instructor. May
be repeated for credit when topics vary*. Topics not covered in other
experimental statistics courses.

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****7003 Statistical Inference I (4) F,S** *3 hrs. lecture; 2 hrs. lab.
Prereq.: MATH 1020/1021 or equivalent. Credit will be given for only one of the
following: EXST 7003, 7004, 7005*. Basic concepts of statistical models and
sampling; descriptive and inferential methods; normal, t, chi-square, and F
distributions; tests of hypothesis and estimation, analysis of variance,
correlation, regression, analysis of categorical data; emphasis on social and
behavioral sciences research problems; computer software applications.

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****7004 Experimental Statistics I (4) F,S** *3 hrs. lecture; 2 hrs. lab.
Prereq.: MATH 1020/1021 or equivalent. Credit will be given for only one of the
following: EXST 7003, 7004, 7005*. Basic concepts of statistical models and
use of samples; measures of variation and central tendency; normal, t,
chi-square, and F distributions; test of hypothesis, analysis of variance,
regression, and correlation; emphasis on laboratory-oriented sciences research
problems; computer software applications.

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****7005 Statistical Techniques I (4) F,S** *3 hrs. lecture; 2 hrs. lab.
Prereq.: MATH 1020/1021 or equivalent. Credit will be given for only one of the
following: EXST 7003, 7004, 7005*. Basic concepts of statistical models and
sampling methods, descriptive statistical measures, distributions, tests of
significance, analysis of variance, regression, correlation, and chi-square;
emphasis on field-oriented life sciences research problems; computer software
applications.

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****7011 Nonparametric Statistics (3) Su** *Prereq.: EXST 7003 or 7004 or
7005 or equivalent*. Nonparametric one- and two-sample location and
distribution tests, including binomial, chi-square, Kolmogorov-Smirnov,
Mann-Whitney U, Wilcoxon; analyses of variance, including Cochran's Q, Kruskal-Wallis,
Friedman; correlation and regression, including Kendall's tau, Spearman's rho,
and point biserial.

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****7012 Fundamental Sampling Techniques (3) Su** *Prereq.: EXST 7003 or 7004
or 7005 or equivalent*. Sample and stratified random sampling; ratio and
regression estimation; cluster, multistage, and multiphase sampling procedures;
systematic sampling; nonresponse and nonsampling errors; links between
methodology and application emphasized.

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****7013 Statistical Inference II (4) S** *Prereq.: EXST 7003 or equivalent.
3 hrs. lecture; 2 hrs. lab. Credit will be given for only one of the following:
EXST 7013, 7014, 7015*. Analyses of variance and experimental designs;
completely randomized and complete block designs; latin square designs; split
plot; arrangements of treatments; multiple comparisons; covariance analysis;
multiple and curvilinear regression techniques; emphasis on social and
behavioral sciences research problems.

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****7014 Experimental Statistics II (4) F** *Prereq.: EXST 7004 or
equivalent. 3 hrs. lecture; 2 hrs. lab. Credit will be given for only one of the
following: EXST 7013, 7014, 7015*. Multiple classification analysis of
variance and covariance, individual degrees of freedom, factorial arrangement of
treatments, and multiple regression; emphasis on science/laboratory research
problems.

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****7015 Statistical Techniques II (4) F,S** *Prereq.: EXST 7005 or
equivalent. 3 hrs. lecture; 2 hrs. lab. Credit will be given for only one of the
following: EXST 7013, 7014, 7015*. Multiple classification analyses of
variance and covariance, sampling designs, parameter estimation, multiple
regression and correlation, tests of specific hypothesis, and factorial
experiments; emphasis on field-oriented life sciences research problems.

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****7022 Statistical Aspects of Quantitative Genetics (3) V** *Prereq.: EXST
7014 or equivalent and AGRI 2072 or equivalent*. Statistical aspects of
quantitative inheritance; partitioning of variance; covariance among relatives;
theory of inbreeding; estimation and testing of genetic parameters; best linear
prediction of genetic merit; mixed model application; selection theory.

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****7023 Advanced Topics in Statistical Genetics (3) V** *Prereq.: EXST 4002
or equivalent and 7022*. Topics not covered in other experimental statistics
courses, such as best linear unbiased prediction of genetic merit;
likelihood-based methods for genetic parameter estimation; analysis of selected
populations; methods for quantitative genetic analysis of discrete data.

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****7024 Biological Population Statistics I (3) V** *Prereq.: EXST 7005 or
equivalent*. Specialized sampling for estimation of plant and animal
population parameters including density and abundance, survival, recruitment,
space-use, and spatial pattern; methods used include quadrants, line transects,
plotless sampling techniques, change-in-ratio estimators including
capture-recapture and exploitation or catch-per-effort estimators, and home
range models.

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****7025 Biological Population Statistics II (3) V** *Prereq.: EXST 7015 or
equivalent*. Extensive development and application of statistical techniques
to parameter estimation in population dynamics; principles of model building and
role of model building in population management.

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****7031 Experimental Design (3) S** *Prereq.: EXST 7013 or 7014 or 7015 or
equivalent*. Comparison of designs, models, and analyses; emphasis on
factorial experiments, complete and incomplete block designs, and confounding.

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****7032 Survey Design (3) V** *Prereq.: EXST 7013 or equivalent*.
Comparison of experimental and quasi-experimental designs; repeated measures,
covariance analysis, and confounding in factorial experiments; emphasis on
social and behavioral science research problems.

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****7034 Regression Analysis (3) F** *Prereq.: EXST 7013 or 7014 or 7015 or
equivalent; and knowledge of matrix algebra*. Fundamentals of regression
analysis, stressing an understanding of underlying principles; response
surfaces, variable selection techniques, and nonlinear regression.

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****7035 Applied Least-Squares (3) S** *Prereq.: EXST 7013 or 7014 or 7015 or
equivalent*. Applications of least squares methods; usual constraints, no
constraints, and means model constraints to unbalanced cross classified and
nested data; emphasis on analysis of variance and covariance for fixed effects
models.

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****7036 Categorical Data Analysis (3) F** *Prereq.: EXST 7014 or equivalent*.
Statistical techniques used in analyzing data from discrete distributions;
contingency tables, loglinear and logitmodels, logistic regression, and repeated
measures for nominal and ordinal data; emphasis on computer analysis and
interpretation.

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****7037 Multivariate Statistics (3) F** *Prereq.: EXST 7013 or 7014 or 7015
or equivalent; and knowledge of matrix algebra*. Comparison of multivariate
techniques and analyses; emphasis on discriminant analysis, factor analysis and
principal component analysis, canonical correlation, cluster analysis, and
multivariate analysis of variance.

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****7051 Applied Bayesian Inference (3) V** *Prereq.: EXST 7003 or 7004 or
7005; or equivalent*. Basic decision theory applications, useful sampling
distributions and convenient priors, Bayesian statistical inference, and
Bayesian analysis of multiple decision problems.

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****7060 Probability and Statistics (3) F** *Prereq.: MATH 2057 or equivalent*.
Probability, random variables, discrete and continuous distribution functions;
expected values, moment generating functions; functions of random variables.

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****7061 Statistical Theory (3) S** *Prereq.: EXST 7060 or equivalent*.
Point estimation; hypothesis testing; interval estimation; large sample theory;
new developments in statistical inference.

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****7062 Advanced Topics in Statistical Theory (3) V** *Prereq.: EXST 7061.
May be repeated for credit when topics vary*. Topics of current interest;
emphasis on theoretical development of statistical methodology.

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****7083 Practicum in Statistical Consulting I (2) Su** *Prereq.: EXST 7013
or 7014 or 7015. 4 hrs. independent study. Pass-fail grading*. Supervised
application of statistical techniques to research problems; readings, oral
presentations, and discussions on statistical consulting; problem-solving;
mock-consulting sessions; participation in real-life statistical consulting
sessions under faculty supervision.

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****7084 Practicum in Statistical Consulting II (2) F,S,Su** *Prereq.: EXST
7083. 4 hrs. independent study. Pass-fail grading. May be taken for a max. of 6
sem. hrs. credit*. Primary responsibility for statistical consulting projects
under the supervision of graduate faculty.

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****7085 Special Problem in Statistics (1-3) F,S,Su** *Prereq.: permission of
department. Pass-fail grading. A technical paper on an advanced topic in
statistics is required*. Development of a topic in advanced statistics under
faculty supervision.

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****7086 Advanced Seminar in Statistics (1) F,S,Su** *Prereq.: consent of
instructor. May be repeated for credit when topics vary. Pass-fail grading*.
Develop and present a 50-minute seminar on an advanced topic in statistics as a
part of the department's seminar series.

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****7087 Advanced Topics in Statistics (1-3) V** *Prereq.: consent of
instructor. May be repeated for credit when topics vary*. Lectures on
advanced topics in statistics not covered in other experimental statistics
courses.

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