This repository holds the course materials for the Fall 2018 edition of Statistics 131A: Introduction to Probability and Statistics for Life Scientists at UC Berkeley.
- Instructor: Gaston Sanchez, gasigiri [at] berkeley [dot] edu
- Class Time: MWF 2-3pm in Latimer 120
- Session Dates: 08/22/18 - 12/07/18
- Code #: 23907
- Units: 4 (more info here)
- Final: 12/13/18, 3-6pm (room TBD)
- Piazza: piazza.com/berkeley/fall2018/stat131a
- Office Hours: You can go to the office hours of any staff member.
| Name | Room | Day/Time |
|---|---|---|
| Gaston Sanchez | 309 Evans | MW 3pm-3:45pm |
| Kevin Chen | 426 Evans | M 12-2pm, 3-5pm |
| Faraz | 428 Evans | F 9am-1pm |
- Lab Sections:
| Lab | Date | Room | GSI |
|---|---|---|---|
| 101 | TuTh 1-2pm | 344 Evans | Faraz |
| 102 | TuTh 2-3pm | 344 Evans | Faraz |
| 103 | TuTh 3-4pm | 344 Evans | Kevin |
| 104 | TuTh 4-5pm | 344 Evans | Kevin |
Statistics 131A is designed primarily as an introductory course for statistical thinking: critical thinking, interpretation, and statistical literacy. Topics include descriptive statistics, association, correlation, regression, elements of probability, chance variability, random variables, expectation, standard error, sampling, hypothesis tests, confidence intervals, experiments and observational studies.
You do need to be comfortable with math at the level of intermediate algebra (e.g., the equation of a straight line, plotting points, taking powers and roots, percentages, inequalities).
You should expect to spend about 7 hours of outside work hours per week, 2 hours of instructional experiences requiring special laboratory equipment and facilities per week, and 3 hours of instructor presentation of course materials per week.
We will be using a combination of materials such as slides, tutorials, reading assignments, and chalk-and-talk.
I firmly believe that one cannot do statistical computations without the help of good statistical software. In this course, you will be asked to do various assignments and practical work using the statistical software R with the help of the Integrated Development Environment (IDE) RStudio.
- Please read the course logistics and policies, and the piazza etiquette rules for more details about the structure of the course, DO's and DONT's, etc.
Unless otherwise noticed, this work, by Gaston Sanchez, is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Author: Gaston Sanchez