# Intro to Probability and Stats

I will use my own lecture notes as a textbook for this course (see below). For supplemental reading I recommend Freund's Mathematical Statistics by Miller and Miller (any edition).
Office Hours: Tuesday 1-2pm and Wednesday 2-3pm (also by appointment) Here is the syllabus. | ||

Course Notes | ||
---|---|---|

Item | Due Date | Information |

Homework 1 Solutions |
Thurs Feb 1 |
Motivation: Coin Flipping Interactive Binomial Algebra of Sets Three Rules for Probability |

Homework 2 Solutions |
Thurs Feb 15 |
Binomial/Multinomial Probability Methods of Counting Hypergeometric Probability (Urn Problems) Conditional Probability Bayes' Theorem |

Exam1: Tues Feb 20, in class Solutions | ||

Homework 3 Solutions |
Thurs Mar 8 |
Discrete Random Variables Binomial, Hypergeometric, Geometric Expected Value Variance and Standard Deviation |

Homework 4 Solutions |
Tues Mar 27 |
Covariance Joint Distributions Independence Correlation and Linear Regression |

Exam2: Thurs Mar 29, in class Solutions | ||

Homework 5 Solutions |
Tues Apr 17 |
Continuous Random Variables De Moivre-Laplace Theorem Normal Distributions Law of Large Numbers Central Limit Theorem |

Exam3: Thurs Apr 26, in class Solutions | ||

Final Exam: Thurs May 3, 11:00-1:30 |