Analyzing Data I 
Analyzing Data I
by UCLA / Herbert B. Enderton
Video Lecture 24 of 28
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Views: 1,497
Date Added: April 28, 2009

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

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.

Herbert Enderton, Ph.D., Harvard University. Dr. Enderton is Logic Colloquim Chairman for the UCLA Logic Center --


The American Mathematical Society honored UCLA's math department and its "first-rate faculty of internationally recognized mathematicians" with the 2007 Award for an Exemplary Program or Achievement in a Mathematics Department.

UCLA's department is "an outstanding model of all that a mathematics department can be," the society declared, adding that "UCLA has become one of the biggest pipelines to mathematical careers in the United States."

More than 1,000 scholars a year participate in programs that bring together mathematicians and scientists from the fields of biology, the physical sciences, medicine, engineering and others, as well as from industry and national laboratories.

Tags: Math, Math Calculus, Probability, Biology.


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