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Verified Documents at University of California - Santa Cruz

Browse the full collection of course materials, past exams, study guides and class notes for AMS 5 - Statistics at University of California - Santa Cruz verified by our community.
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PROFESSORS
All Professors
All semesters
Bruno Mendes
winter
11
spring
16
Jonathan Katznelson
spring
23

Verified Documents for Bruno Mendes

Class Notes

Taken by our most diligent verified note takers in class covering the entire semester.
AMS 5 Lecture 4: AMS5 Lecture 4-chapter 3：Histogram
327
AMS 5 Lecture 5: chapter 4-the average and the standard deviation
428
AMS 5 Lecture Notes - Lecture 6: Normal Distribution
3185
AMS 5 Lecture Notes - Lecture 7: Observational Error
Chbimeasurementerr tip chapter 6 is more about reading the textbook and terminology feature it is better to understand the concept difficult to find ab
418
AMS 5 Lecture 8: chapter 9 & 10-correlation
316
AMS 5 Lecture Notes - Lecture 10: South Dakota Highway 45
Ams5 lecture 9 chapter lo regression graph on pig textbook agrnaph i i subgroup of young man average value to predict use linear regression work with s
412
AMS 5 Lecture Notes - Lecture 11: Standard Score
Height mnean root wa o square terror way. Sdpred a when make a prediction is exist. If ask how much error in a prediction standard deviation of the who
316
AMS 5 Lecture Notes - Lecture 12: Linear Regression, Shogi, Asolo
Ams 5 lecture 11 chapter 12 the regression line. Y mx b weight m r m height ssdppareiden b slope no need to explain b two way to obtain bi need to expl
313
AMS 5 Lecture 13: Chapter 16-the law of averages
313
AMS 5 Lecture 14: chapter 16&17&18
314
AMS 5 Lecture 15: chapter 20&21-the accuracy of percetage
319
AMS 5 Lecture 16: chapter 21- the accuracy of percentage
315
AMS 5 Lecture Notes - Lecture 17: Eisenbahnen Und Verkehrsbetriebe Elbe-Weser
311
AMS 5 Lecture 18: examples of comparing and analyzing two samples
316
AMS 5 Lecture 19: comparing two samples statistics
313
AMS 5 Lecture Notes - Lecture 20: Alternative Hypothesis, Standard Score
Ev sample avg ability sd sample avg rhs tooo assume hypothesisright if. io esthot observe howfar 950 away from tooo. Cz score how far a number away fro
321