Class: Math 1044 (Intro to Prob/Stat for the Life Sciences)
Lecture Meetings: M/T/W/Th/F, 10:10 AM - 11:45 AM on Zoom. Link on Canvas --> Announcements.
Instructor: Zach Bailey
Email: zbailey@temple.edu
Office + Office Hours: Zoom. Link on Canvas --> Announcements. Hours 12:00 - 1:30 PM T/Th or by Appointment.
Quiz 1 - Intro, Counting, Axioms
Quiz 2 - Conditioning, Law of Total Prob. Bayes', Independence
Quiz 3 - Discrete RV basics, Expectation
Quiz 4 - Continuous RV basics, Expectation
Quiz 5 - Median, Geometric Mean.
Quiz 6 - Variance, Chebyshev's Inequality
Quiz 7 - Joint Distributions, Covariance, Correlation
Quiz 8 - Binomial and Geometric Distribution
Quiz 9 - Exponential and Poisson Distribution
Quiz 10 - Normal Distribution + Central Limit Theorem
Quiz 11 - Confidence Intervals
Final Exam
Lecture 1 - Introduction + Counting
Lecture 2 - Permutations, Combinations, Sets
Lecture 3 - Set Operations, Probability Axioms, Inclusion-Exclusion
Lecture 4 - Conditional Probability, Law of Total Probability.
Lecture 5 - Law of Total Probability, Bayes' Theorem
Lecture 6 - Bayes' Theorem and Independence
Lecture 7 - Random Variables, Discrete and Continuous
Lecture 8 - Integration: Substitution, Improper, By Parts
Lecture 9 - Expected Value
Lecture 10 - Review!
Lecture 11 - Expectation of functions of RVs, Medians, Geometric Mean.
Lecture 12 - Variance
Lecture 13 - Chebyshev's Inequality, Joint Distributions
Lecture 14 - Independent RVs, Covariance, Correlation
Lecture 15 - Variance of Sums, Binomial Distribution
Lecture 16 - Binomial Distribution, Random Walks
Lecture 17 - Geometric Distribution
Lecture 18 - Review!
Lecture 19 - Exponential Distribution
Lecture 20 - Poisson Distribution
Lecture 21 - Normal Distribution
Lecture 22 - Central Limit Theorem, Part 1 (Recorded)
Lecture 23 - Central Limit Theorem, Part 2
Lecture 24 - Confidence Intervals
Lecture 25 - Recent Material Review
Lecture 26 - Final Review