Description:
Introduction to fundamental ideas and techniques of probability theory and
statistical inference. Prerequisites: Ma 1abc.
Syllabus:
- Properties of probability
- Independence and conditional probability
- Random variables, Distributions, and densities
- Important Distributions
- Normal Poisson approximations
- Estimation of unknown parameter values
- Testing Statistical Hypotheses
- Confidence Intervals
- Linear Regression
Textbooks:
- Pitman, "Probability" Springer Verlag.
(required)
- Moore and McCabe, "Introduction to the
Practice of Statistics (fourth edition)"
W.H. Freeman. (required)
- Rice, "Mathematical Statistics
and Data Analysis" Duxbury Press. (optional)
Course Secretary:
Stacey Croomes
Office: 253 Sloan, 626-395-4335
scroomes@caltech.edu
Teaching
Assistants:
Lead TA: Rebecca Vessenes
rebeccav@caltech.edu
Office: 160 Sloan
626-395-4324
Office hours: 3-4pm Thursday
Please see TA Info page for other TAs and
office hours
Grading:
- Homework assignments: 40%
-
Homework will generally be distributed on Mondays
and due in class the following Monday.
There will be about 8 assignments, and your
lowest score will be dropped in the final grade.
Late homeworks will NOT be accepted for grading
(medical emergencies excepted with proof).
Midterm: 30%.
Final exam: 30%.
Recitations:
Recitations are held on Thursdays at 10:00am
and 2:00pm. These are the
only section times and cannot be changed.
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