Course Information

Course

Subject:	Mathematics
Topic:	Probability
Views:	84,410

Educator

Name:	University of California, Los Angeles (UCLA)
Type:	University

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Instructor

Name

Herbert B. Enderton

Calculus & Probability for Life Sciences

Video Lectures

Displaying all 28 video lectures.

Lecture 1 Play Video	Probability September 26th, 2008 In this video lecture, Professor Herbert B. Enderton lectures on simple Probability Problems they will encounter throughout this course. Other topics include Probability Functions, Outcomes, Sample, Space and Events.
Lecture 2 Play Video	Probability Functions I September 29th, 2008 In this video lecture, Professor Herbert B. Enderton lectures on Probability Functions and Permutations to a greater depth.
Lecture 3 Play Video	Permutations October 1st, 2008 In this video lecture, Prof. Enderton lectures on Permutations, and then presents some Probability Problems involving Permutations.
Lecture 4 Play Video	Probability Functions II October 3rd, 2008 In this video lecture, Prof. Enderton discusses Probability Functions in more details. He lists eight general properties of a Probability Function, and then he lectures on different problems involving this concept.
Lecture 5 Play Video	Conditional Probability I October 6th, 2008 In this video lecture, Prof. Enderton introduces a new topic: Conditional Probability. He then discusses this concept through a few Probability Problems.
Lecture 6 Play Video	Conditional Probability II October 8th, 2008 In this video lecture, Prof. Enderton lectures on Conditional Probability once more, and he solves a few Probability Problems involving this subject.
Lecture 7 Play Video	Independence of Three or More Events October 10th, 2008 In this video lecture, Professor David Welsbart is substituting for Professor Herbert B. Enderton. He lectures on Independence of three or more events and introduces a few problems involving this concept.
Lecture 8 Play Video	Random Variables I October 13th, 2008 In this video lecture, Prof. Enderton lectures on Random Variables.
Lecture 9 Play Video	Standard Deviation and Variance I October 15th, 2008 In this video lecture, Professor Herbert B. Enderton begins his lecture with a Problem involving Random Variables as functions and later moves on to Standard Deviations, Expected Values and Variance.
Lecture 10 Play Video	Standard Deviation and Variance II October 17th, 2008 In this video lecture, Professor Herbert B. Enderton lectures on Random Variables once more, and moves on to Standard Deviation, Standard Distribution, Binomial Distribution, Two Random Variables and Variance.
Lecture 11 Play Video	Midterm Review I October 20th, 2008 In this video lecture, Professor Herbert B. Enderton begins his lecture with an overview of the course and examines the previous lessons. Some of these topics include: Counting, Probability Functions, Permutations and Conditional Probability. He later works on Probability Problems.
Lecture 12 Play Video	Multinomial Distribution October 24th, 2008 In this video lecture, Professor Herbert B. Enderton lectures on Binomial, Trinomial, Geometric and Multinomial Distributions to greater details. He discusses this lesson through a few Probability Problems involving Bernoulli trials.
Lecture 13 Play Video	Geometric Distribution October 27th, 2008 In this video lecture, Professor Herbert B. Enderton lectures on Geometric Distribution with some Problems.
Lecture 14 Play Video	Poisson Distribution I October 29th, 2008 In this video lecture, Professor Herbert B. Enderton introduces the Poisson Distribution. Some of the topics included are: "successes", continuous trials and the poisson process. He approaches this lesson with a few Problems.
Lecture 15 Play Video	Poisson Distribution II October 31st, 2008 In this video lecture, Prof. Enderton continues his lecture on Poisson Distribution and Poisson Processes.
Lecture 16 Play Video	Continuous Random Variables November 3rd, 2008 In this video lecture, Professor Herbert B. Enderton begins his lecture with a Problem concerning the Poisson Distribution. He later lectures on Continuous Random Variables, Cumulative Distribution Function, Density Funtion and Uniform Distribution.
Lecture 17 Play Video	Exponential Distribution November 5th, 2008 In this video lecture, Professor Herbert B. Enderton goes back to Continuous Random Variables. He later lectures on the applications of the Exponential Distribution through some Problems as well.
Lecture 18 Play Video	Random Variables II November 7th, 2008 In this video lecture, Professor Herbert B. Enderton goes back to Random Variables. He later works on some Problems with Exponential Distribution and discusses Normal Distribution.
Lecture 19 Play Video	Normal Distribution I November 10th, 2008 In this video lecture, Professor Herbert B. Enderton lectures on the last of the seven distributions: Normal Distribution. He also lectures on the five properties of the Standard Normal Density Function and moves on to Continuous Random Variables and Exponential Distribution.
Lecture 20 Play Video	Normal Distribution II November 12th, 2008 In this video lecture, Professor Herbert B. Enderton lectures on Normal Distribution with some Probability Problems. He also introduces the Density Function for Normal Distribution.
Lecture 21 Play Video	Normal Distribution III November 14th, 2008 In this video lecture, Professor Herbert B. Enderton lectures on the applications of Normal Distribution with some Probability Problems. He also introduces the Central Limit Theorem.
Lecture 22 Play Video	Central Limit Theorem November 17th, 2008 In this video lecture, Prof. Enderton begins his lecture with a Problem involving Random Variabes, and he later introduces the Central Limit Theorem. He also discusses Normal Approximation and Histogram Corrections.
Lecture 23 Play Video	Midterm Review II November 19th, 2008 In this video lecture, Prof. Enderton gives some suggestions for this course. He later reviews some old concepts from previous lessons with different Problems.
Lecture 24 Play Video	Analyzing Data I November 24th, 2008 In this video lecture, Prof. Enderton lectures on Analyzing Data in Probability involving Confidence Intervals, Sample Variance, Sample Standard Deviation, Incomplete Data, Means and Central Limit Theorem.
Lecture 25 Play Video	Analyzing Data II November 26th, 2008 In this video lecture, Prof. Enderton lectures on Analyzing Empirical Data in Probability with some examples. He also lectures on Sample Standard Deviation, Standard Error, Confidence Intervals, Incomplete Data and Means, providing examples for each.
Lecture 26 Play Video	Limit Theorems Overview December 1st, 2008 In this video lecture, Prof. Enderton gives an overview on the four Limit Theorems: Central Limit Theorem, Markov's Inequality Theorem, Chebyshev's Inequality Theorem and Law of Large Numbers.
Lecture 27 Play Video	Problems Involving Chebyshev's Inequality December 3rd, 2008 In this video lecture, Prof. Enderton lectures on Probability Problems involving Chebyshev's Inequality Theorem, Markov's Inequality Theorem and the Law of Large Numbers.
Lecture 28 Play Video	Midterm Review III December 5th, 2008 In this video lecture, Prof. Enderton covers every topic learned from the beginning of the course. He reviews Probability and Counting, Conditional Probabilities, Independent Events, Random Variables and the seven distributions (Binomial, Multinomial, Geometric, Poisson, Continuous, Uniform, Exponential and Normal). He also covers the four Limit Theorems (Central, Markov's Inequality, Chebyshev's Inequality and Law of Large Numbers). To conclude the lesson and this course, he looks at a few Probability Problems with the class.