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Statistics

STAT-Statistics
STAT 1040 QL
Introduction to Statistics
3:3:0
Fall, Spring, Summer
Prerequisite(s):
One of the following: MAT 1000 or MAT 1010 with a grade of C or better within the past two years; an ACT mathematics score of 23 (assuming the test has been taken within the last two years); appropriate placement by the Accuplacer test score

A quantitative literacy course with a statistical theme. Includes descriptive statistics, sampling, and inferential methods. Emphasizes problem solving and critical thinking. Canvas Course Mats \$72/MacMillan applies.

STAT 1045 QL
Introduction to Statistics with Algebra
5:5:0
Fall, Spring
Prerequisite(s):
Within the past two years; appropriate placement by math placement test or Mathematics Department Advisor.

A quantitative literacy course with a statistical theme. Includes descriptive statistics, sampling, and inferential methods. Emphasizes problem solving and critical thinking. Supplements material in introductory statistics with selected topics from algebra, such as lines, roots, fractions, decimals, etc., when appropriate.

STAT 2040 QL
Principles of Statistics
4:4:0
Fall, Spring, Summer
Prerequisite(s):
Within the past two years: MATH 1050 or MATH 1055 with a grade of C or higher or appropriate math placement test score.

Includes summarizing data, measures of central location, measures of variation, probability, mathematical expectation, probability distributions, sampling and sampling distributions, estimation, hypothesis testing, analysis of variance, regression analysis, and correlation.

STAT 2050
Introduction to Statistical Methods
4:4:0
Fall, Spring
Prerequisite(s):
MATH 1050 or MATH 1055 with a grade of C or higher within the past two years or a placement by the appropriate placement test (taken within the past two years)

Introductory statistics course for statistics majors. Applies discrete and continuous probability distributions to real data sets. Teaches confidence intervals and hypothesis testing for both one and two sample problems. Covers introductory topics in experimental design, linear regression, nonparametric statistics, and categorical data analysis.

STAT 2060
Introduction to Statistical Computing
1:0:3
Spring
Prerequisite(s) or Corequisite(s):
STAT 2040 or STAT 2050 with a grade of C or higher

Familiarizes students with the SAS statistical software package. Teaches how to organize, input data, and be able to use reference books to figure out the appropriate way to run the analysis needed using SAS.

STAT 3040
Probability and Statistics for Engineering and the Sciences
3:3:0
Fall
Prerequisite(s):
(STAT 2040 or STAT 2050 and MATH 2210 each with a grade of C or higher) and University Advanced Standing

Introduces mathematical statistics for scientists and engineers. Includes counting techniques, random variables, expected values, joint and marginal distributions, point estimation, hypothesis testing, analysis of variance, and regression.

STAT 4000
Applied Regression and Time Series
3:3:0
Spring
Prerequisite(s):
STAT 2040 or STAT 2050 with a grade of C or higher and University Advanced Standing

Provides students in non-mathematical disciplines the ability to answer typical research questions for their senior projects or graduate-level research. Includes linear regression, transformations, variable selection techniques, logistic regression, indicator variables, multicollinearity, and ARIMA time series. Satisfies the VEE statistics requirement for the Society of Actuaries. Introduces SAS software as a tool for statistical analysis.

STAT 4100
Design of Experiment
3:3:0
Spring
Prerequisite(s):
STAT 2040 or STAT 2050 with a grade of C or higher and University Advanced Standing

Introduces the design and analysis of randomized comparative experiments. Includes single factor ANOVAs, randomized block designs, latin squares, factorial designs, and nested and split plot designs. Covers mixed models including random effects and computation of expected mean squares to form appropriate F-ratios. Uses SAS statistical program software to perform statistical analysis.

STAT 4200
Survey Sampling
3:3:0
Fall Odd Year
Prerequisite(s):
STAT 2040 or STAT 2050 with a grade of C or higher and University Advanced Standing

Introduces survey sampling including simple random sampling, stratified random sampling, systematic and cluster sampling. Discusses ratio and difference estimators, weighting for non-responses, eliminating sources of bias and designing the questionnaire.

STAT 4300
Stochastic Processes
3:3:0
Spring Odd Year
Prerequisite(s):
STAT 3040 or STAT 4710 with a grade of C or higher and University Advanced Standing

Teaches how to perform statistical inference on Markov chains, including classifying states, computing mean and variance of recurrence times, and investigating long-run limiting behavior to model physical systems uses the Poisson process. Teaches how to calculate and analyze queuing characteristics of each of the popular queuing models.

STAT 4400
Multivariate Analysis
3:3:0
Spring
Prerequisite(s):
MATH 2270, STAT 4710, with C or higher, and University Advanced Standing

Introduces multivariate data analysis. Performs inference on data arising from multivariate normal distribution including MANOVA, principal component analysis, factor analysis, canonical correlation analysis, discriminant analysis and cluster analysis. Uses Statistical software R or SAS for data analysis on all the topics covered.

STAT 4500
Nonparametric Statistics
3:3:0
Fall Even Year
Prerequisite(s):
STAT 2040 or STAT 2050 with a grade of C or higher and University Advanced Standing

Introduces nonparametric statistical procedures to apply in situations when parametric statistics (usually based on normality) are not appropriate. Covers types of nonparametric analyses that includes one and two sample hypothesis tests, goodness-of-fit tests, contingency tables, block designs, and regression analysis.

STAT 4600
Statistical Process Control
3:3:0
Fall Even Year
Prerequisite(s):
STAT 2040 or STAT 2050 with a grade of C or higher and University Advanced Standing

Presents the theory and methods of quality monitoring including process capability, control charts, acceptance sampling, quality engineering, and quality design.

STAT 4710
Mathematical Statistics-Probability and Statistics
3:3:0
Fall
Prerequisite(s):
STAT 2040 or STAT 2050 with a grade of C or higher and University Advanced Standing
Prerequisite(s) or Corequisite(s):
MATH 2210

Introduces mathematical statistics including random variables, set theory, transformations, expectation, joint and marginal distributions, moment generating functions, and order statistics.

STAT 4720
Mathematical Statistics: Statistical Inference
3:3:0
Spring
Prerequisite(s):
STAT 4710 with a grade of C or higher and University Advanced Standing

Is a continuation of STAT 4710. Includes estimation, sufficiency, completeness, hypothesis testing, statistical inference with the normal distribution, and Bayesian statistics.

STAT 6010
Theory of Statistics I
3:3:0
On Sufficient Demand
Prerequisite(s):
Mathematics Endorsement 4, or instructor approval

Teaches topics including, but not limited to, probability theory, random variables, functions of random variables, probability distributions and their characteristics, transformations of random variables, Pearson’s correlation coefficient, and bivariate normal distribution and regression.

STAT 6020
Theory of Statistics II
3:3:0
Fall
Prerequisite(s):
STAT 6010 with C or better; Licensed Secondary Teacher Mathematics Endorsement Level 4 State of Utah and/or permission of instructor

Emphasizes theoretical statistical inference. Includes, but is not limited to, concept sufficiency, theory of estimation, testing of statistical hypothesis, Neyman-Pearson lemma, Bayesian inference, sequential testing, and large sample theory for inference.