Course: STAT 22000
Title: Statistical Methods and Applications
Instructor(s): Kendra Burbank
Teaching Assistant(s): Sounak Paul, Huy Dang Tran
Class Schedule: Sec 02: MWF 11:30 AM–12:20 PM in TBA
Textbook(s): Diez, Barr, Çetinkaya-Rundel, OpenIntro Statistics, 3rd edition.
Description: This course introduces statistical techniques and methods of data analysis, including the use of statistical software. Examples are drawn from the biological, physical, and social sciences. Students are required to apply the techniques discussed to data drawn from actual research. Topics include data description, graphical techniques, exploratory data analyses, random variation and sampling, basic probability, random variables and expected values, confidence intervals and significance tests for one- and two-sample problems for means and proportions, chi-square tests, linear regression, and, if time permits, analysis of variance.
Prerequisite(s): MATH 13100 or 15100 or 15200 or 15300 or 16100 or 16110 or 15910 or 19520 or 19620 or 20250 or 20300 or 20310.
Note(s): Students may count either STAT 22000 or STAT 23400, but not both, toward the forty-two credits required for graduation. Students with credit for STAT 23400 not admitted. This course meets on of the general education requirements in the mathematical sciences. Only one of STAT 20000, STAT 20010, or STAT 22000, can count toward the general education requirement in the mathematical sciences.
