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Powerpoint Lessons
Powerpoint Lessons

Test of a population
Test of a population

... RULE 7 If two events A and B are independent, the probability of both events A and B occurring is equal to the product of their individual probabilities. Two events are independent if the occurrence of one event in no way affects the probability of the second event. RULE 8 If two events A and B are ...
Addition and Multiplication Laws of Probability
Addition and Multiplication Laws of Probability

Quantifying Uncertainty
Quantifying Uncertainty

... Pr(A): Probability A is true Pr(AB): Prob. both A & B are true Pr(~A): Prob. of not A: 1-Pr(A) Pr(A|B): Prob. of A given B Pr(AB)/Pr(B) Pr(A+B): Probability A or B is true Pr(A) + Pr(B) – Pr(AB) ...
Workshop Discussion Topic
Workshop Discussion Topic

HP 30S Powers and Roots
HP 30S Powers and Roots

... A convenient way of computing x y is as e y ln x since x y = e ln x = e y ln x The HP-35, the world’s first scientific electronic pocket calculator, used this method to save valuable space in ROM. Therefore, ...
Discrete Finite Probability Probability 1
Discrete Finite Probability Probability 1

... An outcome that is impossible (e.g., drawing a green ball in our experiment) is assigned the probability 0 (or 0%). An outcome that is inevitable (e.g., getting "heads" when flipping a twoheaded coin) is assigned the probability 1 (or 100%). Of course, most interesting outcomes are neither impossibl ...
Lecture 4
Lecture 4

Chapter 4
Chapter 4

Probability Topics: Contingency Tables∗
Probability Topics: Contingency Tables∗

Chap4
Chap4

Probability of an event - UH
Probability of an event - UH

... probability assignments are made for the simple events in a sample space S. 1. Theoretical. We use assumptions and analytical reasoning (the die is fair so the outcomes have equal probability; the coin is biased in a certain way), and impose the two conditions that the probability assignment must sa ...
Lecture 2 - Yannis Paschalidis
Lecture 2 - Yannis Paschalidis

Punnett Square Quiz
Punnett Square Quiz

Lecture 3 Gaussian Probability Distribution Introduction
Lecture 3 Gaussian Probability Distribution Introduction

Probability Theory: Counting in Terms of Proportions
Probability Theory: Counting in Terms of Proportions

Lecture 13
Lecture 13

... And as we increase x this event accumulates more and more values of y to the left of x. In fact, it should be clear that as x   , the event [ X  x]  S X . Hence, from the above property (P3), Pr[ X  x]  Pr( S X )  1. Now, let’s graph this accumulating probability corresponding to Figure 3.1. ...
UNCERTAINTY THEORIES: A UNIFIED VIEW
UNCERTAINTY THEORIES: A UNIFIED VIEW

www.drfrostmaths.com
www.drfrostmaths.com

Conditional probability and Bayes` rule
Conditional probability and Bayes` rule

... Events are said to be dependent when the occurrence of one event has an effect on the other. As an example, consider the experiment of drawing two cards from a pack, when the first card is not replaced before drawing the second. If the probability of getting two Aces is required, then let A = an Ace ...
7-3 Independent and Dependent Events
7-3 Independent and Dependent Events

1. Test question here
1. Test question here

Class X Delhi Math Set-30/1 Section – A [Outside Delhi... Section-A 1. The common difference of AP 1/2q, (1-2q)/2q, (1-4q)/2q...........is (A) -1
Class X Delhi Math Set-30/1 Section – A [Outside Delhi... Section-A 1. The common difference of AP 1/2q, (1-2q)/2q, (1-4q)/2q...........is (A) -1

127 7 s1 n1 + s2 n2 1− 2 5 5 12 2 3 =1− 1 9 =
127 7 s1 n1 + s2 n2 1− 2 5 5 12 2 3 =1− 1 9 =

Unit #6 - Mattawan Consolidated School
Unit #6 - Mattawan Consolidated School

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