STAT51100 - Statistical MethodsSpring 2017
Days/Time: TTh / TBD
Credit Hours: 3
Provide the students with the fundamentals of probability, statistical methods, and data analysis.
Descriptive statistics; elementary probability; sampling distributions; inference, testing hypotheses, and estimation; normal, binomial, Poisson, hypergeometric distributions; one-way analysis of variance; contingency tables; regression.
Spring 2015 Syllabus
Data (sample vs. Population, histograms, sample mean, median, variance, standard deviation), Elementary probability (axioms, basic rules; little attention to counting and conditional probability), Random variables (discrete vs. Continuous, moments), Binomial, hypergeometric, Poisson distributions, Poisson approximation to binomial, Normal distribution, normal approximation to binomial, Sampling distributions, distribution of mean, central limit theorem, Confidence intervals for means, Confidence intervals for proportions, Tests of hypotheses for means and proportions, Regression and correlation, One way analysis of variance, Contingency tables
Calculus. Integration and differentiation of functions of one variable and two variables.
Course information, syllabus, homework assignments, lecture notes, and announcements will be posted to course website (undecided); a login and password will be provided.
No project will be required for this course. However, some computer-related homework will be assigned.
Two exams and one comprehensive final.
Official textbook information is now listed in the Schedule of Classes. NOTE: Textbook information is subject to be changed at any time at the discretion of the faculty member. If you have questions or concerns please contact the academic department.
Tentative: Required: J. L. Devore, "Probability and Statistics for Engineering and the Sciences", 8th ed., Cengage Learning, 2011, ISBN 978-0538733526.
Computer/phone/tablet can NOT be used on the homework assignments, unless it states computer assignments. Calculator is allowed on the homework assignments, and is highly recommended on the exams. A free statistical software, R, will be used in the course, which can be downloaded from CRAN (cran.r-project.org).
ProEd Minimum Requirements: view
Tuition & Fees: view
R, hand calculator.