| Course descriptions may be updated periodically to reflect changes since the last published catalog. | ||
| Course Number | Name | |
|---|---|---|
| STATS-250 | Applied Statistics... | |
PrerequisitesMATH 130, MATH 134, MATH 146 OR MATH 165 Course Credits4.00 DescriptionApplication of statistical analysis to real-world business and economic problems. Topics include data presentation, descriptive statistics including measures of location and dispersion, introduction to probability, discrete and continuous random variables, probability distributions including binomial and normal distributions, sampling and sampling distributions, statistical inference including estimation and hypothesis testing, simple and multiple regression analysis. The use of computers is emphasized throughout the course. Normally offered each semester. Term OfferedCourse TypesQuantitative Reasoning |
||
| STATS-350 | Applied Statistical Methods... | |
PrerequisitesSTATS 250 Course Credits4.00 DescriptionThis application-oriented course is designed to go beyond the topics covered in STATS 250. It includes topics like Analysis of Variance (ANOVA), special topics in regression analysis and index numbers. Further, time series data, which consist of values corresponding to different time intervals, are analyzed. The objective is to examine past time series values to forecast, or predict future values. Seasonal variations are also incorporated in the forecasts. The course will provide useful computer skills involving various statistical packages and is an excellent preparation for graduate work in business and social sciences. Term OfferedCourse TypesSocial Science |
||
| STATS-H250 | Honors Applied Statistic... | |
PrerequisitesMATH 130, 134, 146, or 165; Honors Course; GPA of 3.2 Course Credits4.00 DescriptionApplication of statistical analysis to real-world business and economic problems. Topics include data presentation, descriptive statistics including measures of location and dispersion, introduction to probability, discrete and continuous random variables, probability distributions including binomial and normal distributions, sampling and sampling distributions, statistical inference including estimation and hypothesis testing, simple and multiple regression analyses. The use of computers is emphasized throughout the course. Prerequisite: MATH 130, MATH 134, MATH 146, or MATH 165 Honors Course GPA of 3.2 or higher required. 1 term - 4 credits Normally offered every year. Term OfferedCourse TypesQuantitative Reasoning |
||