6.434[J] Statistics for Engineers and Scientists


Class Info

Introduction to statistics and probability with applications to aerospace engineering. Covers essential topics, such as sample space, discrete and continuous random variables, probability distributions, joint and conditional distributions, expectation, transformation of random variables, limit theorems, estimation theory, hypothesis testing, confidence intervals, statistical tests, and regression.

This class has 18.06, and 6.431 as prerequisites.

6.434[J] will not be offered this semester. It will be instructed by L. A. Stirling.

Lecture occurs 1:00 PM to 2:30 PM on Mondays and Wednesdays in 37-212.

This class counts for a total of 12 credits. This is a graduate-level class.

You can find more information on MIT OpenCourseWare at the Readings site or on the 6.434[J] Stellar site.

MIT 6.434[J] Statistics for Engineers and Scientists Related Textbooks
MIT 6.434[J] Statistics for Engineers and Scientists On The Web
Readings
Tags
text reference algebra theory isbn springer-verlag a. papoulis random variables scharf

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