 | You can use any combination of selection options to narrow your search for courses. You must choose at least one subject. Multiple subjects can be selected by dragging the mouse over two or more courses, or holding the Ctrl key while clicking on desired subjects. When selecting by course number range, you must enter a low and a high number. When your selection is complete, choose Get Courses to perform the search. |
| CSIS 1206 - STATISTICS |
|
Prerequisite: Mastery of 2 years of high school algebra. Quantitative reasoning intensive course (Q1). Statistics I utilizes a case study approach to the study of statistics. It emphasizes statistical thinking, deals with real data and concepts, and fosters active learning. The course is divided into four modules: I. Analysis of group differences (AOV, Kruskall-Wallis, measurement & sampling validity); II. Examining relationships (Chi-Square, Correlation, forecasting, simple linear regression); III. Applications of probability (probability, probability distributions, expectations); IV. Application areas (t-tests, control charts, experimental design). Faculty: S. KRUBRICKI, A. TANEJA 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Face to Face, Hybrid Full, Lecture (do not use), Online Asynchronous, Online Blended, Online Synchronous Business Division Computer Science & Information Department Course Attributes: Q1- Quant Reasoning Intensive |
 |