'Empirical probability' diaporamas de présentation

PROGRAMME 28

PROGRAMME 28. PROBABILITY. Programme 28: Probability. PART 1 Introduction Empirical probability Classical probability Certain and impossible events Mutually exclusive and mutually non-exclusive events Addition laws of probability Independent events and dependent events

736 views • 59 slides

Gambling, Probability, and Risk

Gambling, Probability, and Risk. (Basic Probability and Counting Methods). A gambling experiment. Everyone in the room takes 2 cards from the deck (keep face down) Rules, most to least valuable: Pair of the same color (both red or both black) Mixed-color pair (1 red, 1 black)

629 views • 57 slides

572 views • 47 slides

Chapter 4

Chapter 4. Probability and Counting Rules. Chapter 4 Overview. Introduction 4-1 Sample Spaces and Probability 4-2 Addition Rules for Probability 4-3 Multiplication Rules & Conditional Probability 4-4 Counting Rules 4-5 Probability and Counting Rules. Chapter 4 Objectives.

719 views • 36 slides

483 views • 34 slides

Basic Probability

Basic Probability. Theoretical versus Empirical. Theoretical probabilities are those that can be determined purely on formal or logical grounds, independent of prior experience.

942 views • 32 slides

Basic Probability

Basic Probability. Theoretical versus Empirical. Theoretical probabilities are those that can be determined purely on formal or logical grounds, independent of prior experience.

482 views • 32 slides

Probability

Probability. Random Experiment. Say I take a coin and flip it in the air and let it fall on the ground . I might be interested in which side of the coin is face up. The most basic outcomes on the coin are heads or tails.

445 views • 31 slides

Probability

Probability. Random Experiment. Say I take a coin and flip it in the air and let it fall on the ground . I might be interested in which side of the coin is face up. The most basic outcomes on the coin are heads or tails.

506 views • 31 slides

409 views • 30 slides

Chapter 8 Probability

Chapter 8 Probability. Section 2 Union, Intersection, and Complement of Events, Odds. Objectives for Section 8.2. Union, Intersection, Complement of Events; Odds. The student will be able to determine the union and intersection of events.

471 views • 29 slides

WebSim: A Pathway to Unveiling Term Relationships using a Web Search Technology [2006] Seokkyung Chung, Jongeun Jun,

WebSim: A Pathway to Unveiling Term Relationships using a Web Search Technology [2006] Seokkyung Chung, Jongeun Jun, and Dennis McLeod. Presented By: Amandeep Singh. Overview. Focus WebSim (Web Based Similarity Matrix) Dealing with Ambiguities

363 views • 27 slides

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.

386 views • 24 slides

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.

524 views • 24 slides

Probability

360 views • 23 slides

CHAPTER THREE

381 views • 19 slides

Probability Models 6.2

1.25k views • 14 slides

329 views • 14 slides

Introduction to Probability

463 views • 8 slides

Homework Worksheet: Problem 1

Homework Worksheet: Problem 1. 1 sd. 1 sd. .68. 30. 32. 28. Homework Worksheet: Problem 2. 2 sd. 2 sd. .95. 32. 28. 34. 26. 30. Homework Worksheet: Problem 3. 3 sd. 3 sd. .997. 24. 36. 32. 28. 34. 26. 30. Homework Worksheet: Problem 4. .50. 24. 36. 32. 28. 34.

93 views • 0 slides