Summary Probability & Discrete Random Variables and Probability Distributions
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Module
Mathematical Statistics
Institution
University Of Pretoria (UP)
Book
Modern Mathematical Statistics with Applications
This summary includes probability basics and counting teqniques. It countains unique examples, colorful index and laid out proofs. There is also an excell summary at the end of various formulas. Example sum, sumif, vlookup and many more.
probability distributions for discrete random variables
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SOLUTION MANUAL for Modern Mathematical Statistics with Applications 3rd Edition by Jay L. Devore
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, WST 111
By Jeanette Louw
Happy learning and all the best with your preparations and semester test.
Concepts Covered
Chapter 2 Probability – Chapter 3.2
2.1 Sample Spaces and Events
2.2 Axioms, Interpretations, and Properties of Probability
2.3 Counting Techniques
2.4 Conditional Probability
2.5 Independence
3.1 Random Variables
3.2 Probability Distributions for Discrete Random Variables
3
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