Fayetteville State University
Department: Department of Mathematics and Computer Science
Program: Statistics Courses
Course Descriptions
Course Descriptions
STAT 202 (3-3-0) Basic Probability and
Statistics: An introduction to the study of
probability and statistical inference.
Prerequisite: MATH 123
STAT 301 (3-3-0) Introduction to
Probability: An introduction to the
mathematical theory of probability, including
such topics as random variables, distributions
(normal, binomial, Poisson, and related ones),
moment generating functions, and applications
of probability theory.
Prerequisite: MATH 241
STAT 302 (3-3-0) Mathematical Statistics: A
study of probability distributions of random
samples, the theory of point and interval
estimation, hypothesis testing, and decision
theory concepts.
Prerequisite: STAT 301
Course Objectives
Artifacts/Evidence
STAT 315 (3-3-0) Introduction to Regression
Analysis: A course including such topics as
simple linear regression: the error model,
algebraic derivation of least square estimators,
estimating s ▓, confidence interval for ▀1, ▀2,
hypothesis testing for ▀1, ▀2, the ANOVA
approach to testing, assessing model validity,
transformations, residual plots; multiple
regression: the general linear model, least
square estimation, prediction, residuals; Logistic
regression.
Prerequisite: STAT 202
STAT 400 (3-3-0) Applied Statistics: A course
incorporating the use of statistical software
packages and including discussions of such
topics as descriptive statistics, statistical
inference, inference from a single sample,
samples from two populations, one-way
analysis of variance, linear regression and
correlation, multiple regression, two-way
analysis of variance, fixed effects models,
factorial designs, and hierarchical or nested
design.
STAT 401 (3-3-0) Intermediate Probability:
An intermediate-level study of such topics as
conditional probability, basic classical
theorems, methods of convergence, central limit
theorem, and characteristic functions.
Prerequisite: STAT 301
STAT 402 (3-3-0) Intermediate Probability:
An intermediate-level course including such
topics as the axiomatic treatment of the
fundamentals of probability and distribution
theory, characteristic functions (random
variables, convergence, and approximation), and
common distributions.
Prerequisite: STAT 301
STAT 412 (3-3-0) Operations Research: A
review of topics pertaining to deterministic and
probabilistic models of operations research,
including linear programming, queuing theory,
inventory models, and Markov chains.
Prerequisite: STAT 301
STAT 415 (3-3-0) Applied Time Series
Analysis: A study of stationary stochastic
processes, auto-regressions and ARMAprocesses, parameter estimation and model
selection for time series, trends and seasonality,
forecasting by exponential smoothing and the
Box-Jenkins method, linear filters.
Prerequisite: STAT 301 And STAT 315
STAT 421 (3-3-0) Quality Control: A study of
the construction of control charts for variables,
attributes, and tolerances; sampling techniques;
and current techniques in quality control
methodology.
STAT 422 (3-3-0) Statistical Methods for
Research: A course incorporating the use of
statistical software packages for the study of
probability distributions, measurements of
precision and accuracy, control charts,
confidence intervals, tests of significance,
analyses of variance, multiple correlation and
regression, design and analysis of experiments.
Prerequisite: STAT 400