### Lecture Description

**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.

### Course Index

- Probability
- Probability Functions I
- Permutations
- Probability Functions II
- Conditional Probability I
- Conditional Probability II
- Independence of Three or More Events
- Random Variables I
- Standard Deviation and Variance I
- Standard Deviation and Variance II
- Midterm Review I
- Multinomial Distribution
- Geometric Distribution
- Poisson Distribution I
- Poisson Distribution II
- Continuous Random Variables
- Exponential Distribution
- Random Variables II
- Normal Distribution I
- Normal Distribution II
- Normal Distribution III
- Central Limit Theorem
- Midterm Review II
- Analyzing Data I
- Analyzing Data II
- Limit Theorems Overview
- Problems Involving Chebyshev's Inequality
- Midterm Review III

### Course Description

In this course, UCLA Professor Herbert B. Enderton gives 28 video lectures on how to apply Calculus and Probability for Life Sciences. The original name for this course is **Mathematics 3C - Lec 2 - Calculus and Probability for Life Sciences Students**. This course covers topics such as **Elementary Probability**, **Probability Distributions**, **Random Variables**, and **Limit Theorems**.

**Requisite:** course 3B with a grade of C- or better. P/NP or letter grading.

**Textbook: **C. Neuhauser, Calculus for Biology and Medicine, 2nd Ed., Prentice Hall.

**
Lecturer:** Herbert Enderton, Ph.D., Harvard University. Dr. Enderton is Logic Colloquim Chairman for the UCLA Logic Center -- http://www.logic.ucla.edu/.

**http://www.math.ucla.edu/**

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ABOUT UCLA MATH:

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**Tags**: Math, Math Calculus, Probability, Biology.