Course Description
Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.
Video Lectures
Introduction to Probability and Statistics: Statistics 20 (Lecture 1 of 22) Berkeley | Fall 2011
on Feb 02, 2012
Votes: 5
Views: 1,091
Comments:
Introduction to Probability and Statistics: Statistics 20 (Lecture 2 of 22) Berkeley | Fall 2011
on Feb 02, 2012
Votes:
Views: 864
Comments:
Introduction to Probability and Statistics: Statistics 20 (Lecture 3 of 22) Berkeley | Fall 2011
on Feb 02, 2012
Votes:
Views: 741
Comments:
Introduction to Probability and Statistics: Statistics 20 (Lecture 4 of 22) Berkeley | Fall 2011
on Feb 02, 2012
Votes:
Views: 711
Comments:
Introduction to Probability and Statistics: Statistics 20 (Lecture 5 of 22) Berkeley | Fall 2011
on Feb 02, 2012
Votes:
Views: 788
Comments:
Introduction to Probability and Statistics: Statistics 20 (Lecture 6 of 22) Berkeley | Fall 2011
on Feb 02, 2012
Votes:
Views: 602
Comments:
Introduction to Probability and Statistics: Statistics 20 (Lecture 7 of 22) Berkeley | Fall 2011
on Feb 02, 2012
Votes:
Views: 596
Comments:
Introduction to Probability and Statistics: Statistics 20: No visuals for first 25 minutes (Lecture 8 of 22) Berkeley | Fall 2011
on Feb 02, 2012
Votes:
Views: 648
Comments:
Introduction to Probability and Statistics: Statistics 20 (Lecture 9 of 22) Berkeley | Fall 2011
on Feb 02, 2012
Votes:
Views: 714
Comments:
Introduction to Probability and Statistics: Statistics 20 (Lecture 10 of 22) Berkeley | Fall 2011
on Feb 02, 2012
Votes:
Views: 675
Comments: