STAT Courses

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Prereqs: Removal of all entrance deficiencies in mathematics.
Credit toward the degree may be earned in only one of: CRIM 300 or ECON 215 or EDPS 459 or SOCI 206. Credit toward the degree cannot be earned in STAT 218 if taken after or taken in parallel with STAT/MATH 380.
The practical application of statistical thinking to contemporary issues; collection and organization of data; probability distributions; statistical inference; estimation; and hypothesis testing.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
ACE Outcomes: 3
Prereqs: STAT 218 or equivalent.
Tests for means/proportions of two independent groups, analysis of variance for completely randomized design, contingency table analysis, correlation, single and multiple linear regression, nonparametric procedures, design of experiments.
This course is a prerequisite for: STAT 802
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
STAT 380
Statistics and Applications Crosslisted as MATH 380
Prereqs: MATH 107 or 107H.
Credit toward the degree can not be earned in STAT 218 if taken after or taken in parallel with STAT/MATH 380.
Probability calculus; random variables, their probability distributions and expected values; t, F and chi-square sampling distributions; estimation; testing of hypothesis; and regression analysis with applications.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom
ACE Outcomes: 3
Prereqs: STAT 380.
Survey of elementary experimental designs and their analyses completely randomized, randomized block, factorial, and split-plot designs.
Credit Hours: 3
Course Delivery: Classroom
Prereqs: STAT/MATH 380 or IMSE 321 or permission.
Sampling Techniques: simple random sampling, sampling proportions, estimation of sample size, stratified random sampling, ratio and regression estimates.
Credit Hours: 3
Course Delivery: Classroom
STAT 430/830
Sensory Evaluation Crosslisted as FDST 430/830
Prereqs: Introductory course in statistics.
Offered fall semester of odd-numbered calendar years.
Food evaluation using sensory techniques and statistical analysis.
Credit Hours: 3
Course Format: Lab 3, Lecture 2
Course Delivery: Classroom
Prereqs: STAT 218 or equivalent.
Spatial point patterns, test of randomness, Morans I statistic and similar measures, checking assumptions for independence of observations, variography, estimation (point and global), Kriging, nearest neighbor techniques, cokriging, mixed models and their role in designed spatial experiments.
Credit Hours: 3
Course Format: Lab , Lecture
Course Delivery: Classroom
STAT 442/842
Computational Biology Crosslisted as BIOC 442/842
Prereqs: Any introductory course in biology, or genetics, or statistics.
Databases, high-throughput biology, literature mining, gene expression, next-generation sequencing, proteomics, metabolomics, systems biology, and biological networks.
Credit Hours: 3
Course Format: Lab 2, Lecture 1
Course Delivery: Classroom
Prereqs: STAT/MATH 380 or IMSE 321, and knowledge of matrix algebra.
General linear models for estimation and testing problems, analysis and interpretation for various experimental designs.
Credit Hours: 3
Course Delivery: Classroom
Prereqs: MATH 208 or 107H.
STAT 380 or equivalent is strongly recommended.
Sample space, random variable, expectation, conditional probability and independence, moment generating function, special distributions, sampling distributions, order statistics, limiting distributions, and central limit theorem.
This course is a prerequisite for: ACTS 401, ACTS 470, ACTS 471, ACTS 473, ACTS 474, STAT 463, STAT 850
Credit Hours: 4
Course Format: Lecture 3, Recitation 1
Course Delivery: Classroom
Prereqs: STAT 462.
Interval estimation; point estimation, sufficiency, and completeness; Bayesian procedures; uniformly most powerful tests, sequential probability ratio test, likelihood ratio test, goodness of fit tests; elements of analysis of variance and nonparametric tests.
This course is a prerequisite for: ACTS 410, ACTS 425, ACTS 430, ACTS 450
Credit Hours: 4
Course Format: Lecture 3, Recitation 1
Course Delivery: Classroom
Prereqs: Permission.
Special topics in either statistics or the theory of probability.
Credit Hours: 1-5
Max credits per degree: 24
Course Delivery: Classroom
Prereqs: Prior arrangement with a faculty member and submission of proposed study plan to department office.
This course has no description.
Credit Hours: 1-5
Max credits per degree: 5
Course Delivery: Classroom

Attention

This is the site for old bulletin data. Please head to UNL's Course Catalog for updated course and program information.

Attention

This is the site for old bulletin data. Please head to UNL's Course Catalog for updated course and program information.