'First toss' presentation slideshows

CHAPTER 4:

CHAPTER 4:. PROBABILITY. EXPERIMENT, OUTCOMES, AND SAMPLE SPACE. Simple and Compound Events. EXPERIMENT, OUTCOMES, AND SAMPLE SPACE. Definition

1.71k views • 131 slides

MAT 7003 : Mathematical Foundations (for Software Engineering) J Paul Gibson, A207 paul.gibson@it-sudparis.eu

MAT 7003 : Mathematical Foundations (for Software Engineering) J Paul Gibson, A207 paul.gibson@it-sudparis.eu http://www-public. it-sudparis.eu /~gibson/Teaching/MAT7003/. Probability and Statistics

555 views • 44 slides

PROBABILITY THEORY

PROBABILITY THEORY. T Introduction to Probability T heory. History and Relevance of probability theory Probability theory began with the study of game of chance that were related to gambling, like throwing a die, drawing a card from a deck of card, tossing a coin , etc.

810 views • 43 slides

Chapter 4 Using Probability and Probability Distributions

Business Statistics: A Decision-Making Approach 7 th Edition. Chapter 4 Using Probability and Probability Distributions. Important Terms. Random Variable - Represents a possible numerical value from a random event and it can vary from trial to trial

700 views • 37 slides

10A Probability Revision - terminology

737 views • 33 slides

6.2 Probability Models

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Objectives for Section 8.2

Objectives for Section 8.2 . Union, Intersection, Complement of Events; Odds. The student will be able to determine the union and intersection of events. The student will be able to determine the complement of an event. The student will be able to determine the odds of an event.

388 views • 24 slides

3. Conditional probability

3. Conditional probability. Coins game. Toss 3 coins. You win if at least two come out heads. S = { HHH , HHT , HTH , HTT , T HH , T HT , T TH , T TT }. equally likely outcomes. W = { HHH , HHT , HTH , THH }. P ( W ) = | W |/| S | = 1/2. Coins game.

328 views • 23 slides

Chapter 4 Probability: Probabilities of Compound Events

Chapter 4 Probability: Probabilities of Compound Events. 4.1THE ADDITION RULE 4.1.1 The General Addition Rule 4.1.2The Special Addition Rule for Mutually Exclusive Events 4.2 Conditional Probabilities 4.3 The Multiplication Rule 4.4 Independent Events and the Special Multiplication Rule

421 views • 21 slides