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, 6263954335
scroomes@caltech.edu
Teaching
Assistants:
Lead TA: Rebecca Vessenes
rebeccav@caltech.edu
Office: 160 Sloan
6263954324
Office hours: 34pm 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.
