ILRST 5100 Statistical Methods for the Social Sciences I
Course description
A first course in statistics for graduate students in the social sciences. Descriptive statistics, probability and sampling distributions, estimation, hypothesis testing, simple linear regression, and correlation. Students are instructed on the use of a statistics computer package at the beginning of the term and use it for weekly assignments.
Enrollment limited to: graduate students. Letter grades only.
No upcoming classes were found.
Previously offered classes
Winter 2024: Online course
Associate Professor
Lecturer, Department of Statistics and Data Science
| Section ID: | ILRST 5100 001-LEC |
| Number: | 1141 |
| Session: | 3-week Winter session |
| Class dates: | January 2-19, 2024 |
| Final exam/project due: | Friday January 19, 9 AM - 12:15 PM / Online (see Final exams) |
| Time / room: | M-F 9 AM - 12:15 PM / Online |
| Mode of instruction: | Online (sync) |
| Credit: | 4 |
| Grade: | Graded (no audit) |
| Instructor: | DiCiccio, T. (tjd9) Entner, J. (jfe35) |
| Max. enroll: | 5 |
| Related: | Co-offered with : ILRST 2100 001-LEC |
| To enroll: | Enrollment for this class is closed.
See Online Learning FAQs. |
Summer 2024: Online course
Associate Professor
Lecturer, Department of Statistics and Data Science
| Section ID: | ILRST 5100 001-LEC |
| Number: | 1202 |
| Session: | Summer 3-week 1 |
| Class dates: | June 3-21, 2024 |
| Final exam/project due: | Friday June 21, 9 AM - 12:15 PM / Online (see Final exams) |
| Time / room: | M-F 9 AM - 12:15 PM / Online |
| Mode of instruction: | Online (sync) |
| Credit: | 4 |
| Grade: | Graded (no audit) |
| Instructor: | DiCiccio, T. (tjd9) Entner, J. (jfe35) |
| Max. enroll: | 5 |
| Related: | Co-offered with : ILRST 2100 001-LEC |
| To enroll: | Enrollment for this class is closed.
See Online Learning FAQs. |