Statistical Methods - STAT51100
Descriptive statistics; elementary probability; sampling distributions; inference, testing hypotheses, and estimation; normal, binomial, Poisson, hypergeometric distributions; one-way analysis of variance; contingency tables; regression.
Learning Objective:
Description:
Descriptive statistics; elementary probability; sampling distributions; inference, testing hypotheses, and estimation; normal, binomial, Poisson, hypergeometric distributions; one-way analysis of variance; contingency tables; regression.
Topics Covered:
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
Prerequisites:
Applied / Theory:
45 / 55
Web Address:
Web Content:
Homework:
Projects:
No project
Exams:
Textbooks:
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.