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Browse the full collection of course materials, past exams, study guides and class notes for 01:960:285 - Introductory Statistics for Business at Rutgers University verified by …
PROFESSORS
All Professors
All semesters
Shyam Moondra
fall
31
Srinivasan
fall
1
Zhanyun Zhao
fall
22
ANDREW MAGYAR
fall
6

Verified Documents for Shyam Moondra

Class Notes

Taken by our most diligent verified note takers in class covering the entire semester.
01:960:285 Lecture 1: Stats 1.19 + 1.32
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01:960:285 Lecture 1: Lectures1-4
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01:960:285 Lecture 2: Lectures5-7
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01:960:285 Lecture 4: Stats for Business 2.5
330
01:960:285 Lecture 5: Stats for Business 2.6
330
01:960:285 Lecture 6: Stats for Business 3.1
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01:960:285 Lecture 7: Stats for Business 3.2 +3.4
437
01:960:285 Lecture 8: Stats for Business 3.5 + 3.6
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01:960:285 Lecture 8: Exam Review
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01:960:285 Lecture 9: Stats for Business 4.1-4.3
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01:960:285 Lecture 10: 01:960:285 Lecture 9: Lecture 9
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01:960:285 Lecture Notes - Lecture 10: 5,6,7,8, Random Variable, Probability Distribution
01:960:285 - lecture 10 - chapter 4: random variables and probability distributions. Definition: a variable that assumes association between a value an
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01:960:285 Lecture 10: Stats for Business 4.3-4.4
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01:960:285 Lecture Notes - Lecture 11: Hypergeometric Distribution, Poisson Distribution
01:960:285 - lecture 11 - chapter 4. 3 & 4. 4: the binomial distribution and other discrete. Let x = number of heads obtained in 10 trials n = number o
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01:960:285 Lecture 11: 01:960:285 Lecture 10: Lecture 10
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01:960:285 Lecture 12: Lecture 12
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01:960:285 Lecture 13: Lecture 13
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01:960:285 Lecture 14: Lecture 14
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01:960:285 Lecture 15: Lecture 15
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01:960:285 Lecture 16: Exam Review
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01:960:285 Lecture 18: Lecture 18
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01:960:285 Lecture 19: Lecture 19
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01:960:285 Lecture 20: Lecture 20
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01:960:285 Lecture 21: Lecture 21
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01:960:285 Lecture 22: Lecture 22
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01:960:285 Lecture 24: Lecture 24
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01:960:285 Lecture 25: Lecture 25
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01:960:285 Lecture 26: Lecture 26
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01:960:285 Lecture 27: Lecture 27
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01:960:285 Lecture 28: Lecture 28
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01:960:285 Lecture 29: Lecture 29
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