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ILRST 2100 Introductory Statistics
Course description
Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. This course covers data exploration and display, data gathering methods, probability, and statistical inference methods through contingency tables and linear regression. The emphasis is on thinking scientifically, understanding what is commonly done with data (and doing some of it for yourself), and laying a foundation for further study. You will learn to use statistical software, and to use simulation tools to discover fundamental results. We will use computers regularly; the text includes both multimedia materials and a software package. This course does not focus on data from any particular discipline. Instead, we'll use real-world examples from a wide variety of disciplines and from current events.
Prerequisites
introductory algebra.
ILRST 2100 001-LEC
| Class number: | 2182 |
| Session: | 3-week session |
| Class dates: | May 27-June 19, 2009 |
| Final exam dates: | Will be provided by instructor (see Final Exams) |
| Days/times: | M-F 9 AM - 11:30 AM Ives Hall 219 |
| Credit: | 4 |
| Grade option: | GRD |
| Instructor: | Diciccio, T. (tjd9) |
| Max. enrollment: | 30 |
| To enroll: | Enrollment for this class is closed. |
| Related classes: | Cross-list: STSCI 2100 001-LEC Co-offered: ILRST 5100 001-LEC |
ILRST 2100 002-LEC
| Class number: | 2184 |
| Class dates: | May 27-June 19, 2009 |
| Final exam dates: | Will be provided by instructor (see Final Exams) |
| Days/times: | Distance Learning |
| Credit: | 4 |
| Grade option: | GRD |
| Instructor: | Wells, M. (mtw1) |
| Max. enrollment: | 35 |
| To enroll: | Enrollment for this class is closed. |
| Computer requirements: | This is a Distance Learning course. Please review the computer hardware and software requirements before enrolling. |
| Related classes: | Cross-list: STSCI 2100 002-LEC Co-offered: ILRST 5100 002-LEC |
Tuition and fees
See "Tuition" for more information.
Related Web sites
- College Web site: School of Industrial and Labor Relations
- Department Web site: ILR: Social Statistics