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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
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Introduction to Probability and Statistics: Statistics 20 (Lecture 2 of 22) Berkeley | Fall 2011
on Feb 02, 2012
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Views: 731
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Introduction to Probability and Statistics: Statistics 20 (Lecture 3 of 22) Berkeley | Fall 2011
on Feb 02, 2012
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Introduction to Probability and Statistics: Statistics 20 (Lecture 4 of 22) Berkeley | Fall 2011
on Feb 02, 2012
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Views: 581
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Introduction to Probability and Statistics: Statistics 20 (Lecture 5 of 22) Berkeley | Fall 2011
on Feb 02, 2012
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Views: 657
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Introduction to Probability and Statistics: Statistics 20 (Lecture 6 of 22) Berkeley | Fall 2011
on Feb 02, 2012
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Views: 486
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Introduction to Probability and Statistics: Statistics 20 (Lecture 7 of 22) Berkeley | Fall 2011
on Feb 02, 2012
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Views: 469
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Introduction to Probability and Statistics: Statistics 20: No visuals for first 25 minutes (Lecture 8 of 22) Berkeley | Fall 2011
on Feb 02, 2012
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Views: 531
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Introduction to Probability and Statistics: Statistics 20 (Lecture 9 of 22) Berkeley | Fall 2011
on Feb 02, 2012
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Views: 596
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Introduction to Probability and Statistics: Statistics 20 (Lecture 10 of 22) Berkeley | Fall 2011
on Feb 02, 2012
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Views: 547
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