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Math 10 Probability NOTE: RESOURCES ON THIS PAGE ARE BEING UPDATED THROUGHOUT THE QUARTER.
SOME LINKS MAY NOT WORK UNTIL RESOURCES ARE UPDATED.
CHAPTER 3 NOTES: Introduction to Probability
http://nebula.deanza.edu/~bloom/Math10/M10ProbabilityNotes.pdf
Solutions to probability rule practice problems #A,B,C,Dand tree problem #E from chapter 3 probability notes
http://nebula.deanza.edu/~bloom/math10/M10_Ch3Notes_Ex_ABCD_ans.GIF
http://nebula.deanza.edu/~bloom/math10/M10_Ch3Notes_Ex_E_ans.pdf
CHAPTER 4 NOTES: Discrete Probability Distributions
http://nebula.deanza.edu/~bloom/Math10/M10DiscreteDistrNotes.pdf
OPTIONAL REVIEW: ADDITIONAL MIXED PRACTICE PROBLEMS
for Probability Rules, Discrete, Binomial,Geometric Distributions:
Probability Practice Problems (Carol's Sweet Shop)
http://facultyfiles.deanza.edu/gems/bloomroberta/Carolsweetshop.doc
Problems 1 thru 8 are for using probability rules (Ch 3)
Problem 28 is a tree (Ch 3)
Problems 9 thru 16 are contingency tables( Ch 3 )
Problems 22 thru 24 are discrete probability distributions (Ch 4)
Problems 19 thru 21 & 25 thru 27 are binomial distribution (Ch 4)
Problems 17 thru 18 are geometric distribution (Ch 4)
(There are no Poisson practice problems.)
Solutions:
http://nebula.deanza.edu/~bloom/Math10/M10sweetshopans1.GIF
http://nebula.deanza.edu/~bloom/Math10/M10sweetshopans2.GIF
http://nebula.deanza.edu/~bloom/Math10/M10sweetshopans3.GIF
http://nebula.deanza.edu/~bloom/Math10/M10sweetshopans4.GIF
Ch. 5 Formulas for UNIFORM and EXPONENTIAL Distributions
http://nebula.deanza.edu/~bloom/math10/M10_Chapter5_Formulas.pdf
Ch. 5 UNIFORM Distribution
Additional example: http://nebula.deanza.edu/~bloom/Math10/M10UniformDistrExample.pdf
Ch. 5 EXPONENTIAL Distribution
Additional example: http://sofia.fhda.edu/gallery/statistics/lessons/lesson05-3.html
CH. 6 NORMAL Distribution Worksheet
http://nebula.deanza.edu/~bloom/Math10/M10NormalDistWorksheet.pdf
Standard Normal Probability Table http://www.itl.nist.gov/div898/handbook/eda/section3/eda3671.htm
CH. 7 CENTRAL LIMIT THEOREM
Notes: Ch. 7 Notes http://nebula.deanza.edu/~bloom/Math10/M10CLTNotes.pdf
Answers: Ch. 7 Notes http://nebula.deanza.edu/~bloom/Math10/M10CLTNotesAns.pdf
Videos of Central Limit Theorem problems: Probability for sample means (averages)
Original Distribution Unknown, mu, sigma given
http://www.deanza.edu/bmc/ppts/clt71/#
Original Distribution Uniform, you need to calculate mu and sigma:
http://www.deanza.edu/bmc/ppts/clt72/#
Graphical Example of the Central Limit Theorem
See how the shape of the distribution of sample means becomes becomes more normally
distributed and more concentrated about the mean as the sample size increases
http://www.statisticalengineering.com/central_limit_theorem.htm
UNIFORM, EXPONENTIAL, NORMAL, NORMAL with CLT
http://nebula.deanza.edu/~bloom/math10/M10contindistrsummary.pdf
Table summarizing key points about problems involving the Uniform, Exponential,
Normal, and Normal with CLT distributions
Return to Resources Page: http://faculty.deanza.edu/bloomroberta/stories/storyReader$101 |
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