Embedded Files
Class Info
Class Info
Class: Math 1044 (Intro to Prob/Stat for the Life Sciences)
Lecture Meetings: T/Th 11:40 AM - 1:20 PM in Beury 160.
Instructor: Zach Bailey
Email: tuf08504@temple.edu
Office + Office Hours: T/Th 8:00 - 9:30 AM in Wachman 522, or by appointment.
Weekly Homework
Weekly Homework
HW 1: Sections 1.1 and 1.2
HW 2: Sections 1.3 and 2.1
HW 3: Sections 2.1 and 2.2.
HW 4: Sections 2.3 and 2.4.
HW 5: Section 3.1 + #1 from 3.2
HW 6: Section 3.2 and 3.3.
HW 7: Section 3.4
HW 8: 3.5 and 3.6.
HW 9: 4.1 and 4.2.
HW 10: 4.3 + Exam 2 Review.
HW 11: 5.1.
HW 12: 5.2, 5.3, 5.4.
HW 13: 5.5 and 6.1.
Quiz and Exam Topics
Quiz and Exam Topics
Quiz 1 on Sections 1.1 and 1.2
Quiz 2 on Sections 1.3 and 2.1
Quiz 3 on Sections 2.1 and 2.2.
Exam 1 on Chapters 1 and 2; Answer Key
Quiz 4 on 3.1 and basic integrals
Quiz 5 on 3.2 and 3.3.
Quiz 6 on 3.4
Quiz 7 on 3.5 and 3.6
Quiz 8 on 4.1 and 4.2.
Exam 2 on Chapters 3 and 4; Answer Key
Quiz 9 on 5.1.
Quiz 10 on 5.2, 5.3, and 5.4.
Quiz 11 on 5.5 and 6.1.
Lecture Notes + Schedule
Lecture Notes + Schedule
Jan 11 - Lecture 1: Section 1.1 on Multiplication
Jan 13 - Lecture 2: Section 1.2 on Permutations and Combinations
Jan 18 - Lecture 3: Section 1.3 on Sets and Inclusion/Exclusion
Jan 20 - Lecture 4: Finishing up 1.3 + Section 2.1 on Basic Probability.
Jan 26 - Lecture 5: Section 2.1 + Extra Examples
Jan 28 - Lecture 6: Section 2.1 + Section 2.2 on Conditioning and the Law of Total Probability.
Feb 01 - Lecture 7: Section 2.3 and 2.4 on Bayes' Theorem and Independence.
Feb 03 - Lecture 8: Exam 1 Review
Feb 08 - Exam 1
Feb 10 - Lecture 9: Section 3.1 and beginning of 3.2 - Discrete RVs and Integrals.
Feb 15 - Lecture 10: Section 3.2, Integrals.
Feb 17 - Lecture 11: Section 3.3, Continuous RVs.
Feb 22 - Lecture 12: Section 3.4, Expected Value.
Feb 24 - Lecture 13: Section 3.4, cont'd and starting 3.5. (No notes due to tech. difficulties)
Mar 8 - Lecture 14: Section 3.5. Percentiles and Geometric Mean.
Mar 10 - Lecture 15: Sections 3.5 and 3.6. Variance
Mar 15 - Lecture 16: Section 4.1. Joint, marginal, and conditional distributions.
Mar 17 - Lecture 17: Sections 4.1 and 4.2. Conditional Expected Value, Sums of RVs.
Mar 22 - Lecture 18: Section 4.3 + Correlation Spreadsheet. Covariance and correlation.
Mar 24 - Lecture 19: Exam 2 Review
Mar 29 - Exam 2.
Mar 31 - Lecture 20: Section 5.1. Binomial RVs
Apr 05 - Lecture 21: Section 5.2. Geometric RVs.
Apr 07 - Lecture 22: Sections 5.3 and 5.4, Exponential and Poisson RVs
Apr 12 - Lecture 23: Section 5.5: Normal RVs
Apr 14 - Lecture 24: Section 6.1: Central Limit theorem
Apr 19 - Lecture 25: Section 6.2 + 6.3: Confidence Intervals, p-Values, and Hypothesis Testing
Apr 21 - Lecture 26: Final Review
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