Statistics and probability
Courses in statistics and probability (designated STAT) may be applied as appropriate, for example, toward
- the statistics requirement for a variety of majors and minors;
- a Certificate in Mathematics; and
- electives.
STAT 200 Introduction to Statistics (3)
Prerequisite: MATH 103, MATH 106, or MATH 107 (preferably in the last two years). An introduction to statistics. The objective is to assess the validity of statistical conclusions; organize, summarize, interpret, and present data using graphical and tabular representations; and apply principles of inferential statistics. Focus is on selecting and applying appropriate statistical tests and determining reasonable inferences and predictions from a set of data. Topics include methods of sampling; percentiles; concepts of probability; probability distributions; normal, t-, and chi-square distributions; confidence intervals; hypothesis testing of one and two means; proportions; binomial experiments; sample size calculations; correlation; regression; and analysis of variance (ANOVA). Students who receive credit for STAT 200 may not receive credit for the following courses: BEHS 202, BEHS 302, BMGT 230, ECON 321, GNST 201, MATH 111, MGMT 316, PSYC 200, SOCY 201, STAT 100, STAT 225, or STAT 230.
STAT 230 Introductory Business Statistics (3)
Prerequisite: MATH 103, MATH 106, or MATH 107 (preferably in the last two years). An introduction to the essential concepts of statistics for business and management. The objective is to assess the validity of statistical conclusions; organize, summarize, interpret, and present data using graphical and tabular representations; and apply principles of inferential statistics. Focus is on selecting and applying appropriate statistical tests and determining reasonable inferences and predictions from a set of data. Emphasis is on applications in business and management. Topics include sampling methods; measures of dispersion and central tendency; probability; random variables; binomial experiments; normal distribution; hypothesis testing; z-, t- and chi-square tests; margin of error and confidence intervals; linear regression and correlation; and analysis of variance (ANOVA). Software programs are used to analyze and present data. Students may receive credit for only one of the following courses: BEHS 202, BEHS 302, BMGT 230, ECON 321, GNST 201, MGMT 316, PSYC 200, SOCY 201, STAT 200, STAT 225, or STAT 230.
Last updated: 5 July 2011