'Addition rule' presentation slideshows

Lecture Slides

Lecture Slides. Elementary Statistics Eleventh Edition and the Triola Statistics Series by Mario F. Triola. Chapter 4 Probability. 4-1 Review and Preview 4-2 Basic Concepts of Probability 4-3 Addition Rule 4-4 Multiplication Rule: Basics

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AP Statistics

AP Statistics. February 27, 2012. AP Statistics B warm-up Monday, February 27, 2012. Write out the general addition rule of Chapter 15. How does it differ from the addition rule of Chapter 14?

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Probability concepts

Probability concepts. Introduction. Fundamental Concepts. A variable is random if its outcome is uncertain, where an outcome is an observable future value of the variable. An event is the specified set of possible outcomes of a random variable.

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CHAPTER 12: General Rules of Probability

CHAPTER 12: General Rules of Probability. Lecture PowerPoint Slides. Chapter 12 Concepts. Independence and the Multiplication Rule The General Addition Rule Conditional Probability The General Multiplication Rule Tree Diagrams. Chapter 12 Objectives. Define independent events

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Saturday Sept 12th: Spring tides and sneaker waves

Saturday Sept 12th: Spring tides and sneaker waves . Functions. relation. function. linear function. Functions. relation. function. linear function. Sine and cosine functions, oscillation period = 2 ?. 0. 2 ?. The unit circle. The addition rule. Wave superposition. 1 wave:.

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M ARIO F . T RIOLA

S TATISTICS. E LEMENTARY. Section 3-3 Addition Rule. M ARIO F . T RIOLA. E IGHTH. E DITION. Compound Event Any event combining 2 or more simple events Notation P(A or B) = P (event A occurs or event B occurs or they both occur). Definition.

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Saturday Sept 12th: Spring tides and sneaker waves

Saturday Sept 12th: Spring tides and sneaker waves . Functions. relation. function. linear function. Sine and cosine functions, oscillation period = 2 ?. 0. 2 ?. The unit circle. The addition rule. Wave superposition. 1 wave:. f = frequency. T =period= 1/f. h o = amplitude.

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Chapter 3

Chapter 3. Probability. PROBABILITY AND STATISTICS CHAPTER 3 NOTES SECTION 2 I. SOME PROBABILITY RULES -- COMPOUND EVENTS

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Section 6.2.2 Probability Models

Section 6.2.2 Probability Models. AP Statistics November 25, 2009 Berkley High School todd1@toddfadoir.com. Notation. Probability Rules: Rule 1. Probability Rules: Rule 2. Probability Rules: Rule 3. Probability Rules: Rule 4 . Probability Rules: Rule 4 (Different Notation) . Example.

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Section 3.3

Section 3.3. Addition Rule. Section 3.3 Objectives. Determine if two events are mutually exclusive Use the Addition Rule to find the probability of two events. A. B. Mutually Exclusive Events. Mutually exclusive Two events A and B cannot occur at the same time. A. B.

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Section 3.3

Section 3.3. Addition Rule. Section 3.3 Objectives. Determine if two events are mutually exclusive Use the Addition Rule to find the probability of two events. A. B. Mutually Exclusive Events. Mutually exclusive Two events A and B cannot occur at the same time. A. B.

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Unlocking Calculus

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Counting Techniques: Combinations

Counting Techniques: Combinations. Combinations. Typical situation: How many 5 -card hands can be made from a deck of 52 cards? Definition: r-combination of a set of n elements is a subset of r of the n elements. The number of all r -combinations

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Probability Rules

Probability Rules. Rule 1. The probability of any event (A) is a number between zero and one. 0 < P(A) < 1. Probability Rules. Rule 2. The sum of the probabilities of all basic outcomes in the sample space must equal one P(S)=P(e 1 )+P(e 2 )+P(e 3 )+....+P(e n )=1. Probability Rules.

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Probability Rules

Probability Rules. Rule 1. The probability of any event (A) is a number between zero and one. 0 < P(A) < 1. Probability Rules. Rule 2. The sum of the probabilities of all basic outcomes in the sample space must equal one P(S)=P(e 1 )+P(e 2 )+P(e 3 )+....+P(e n )=1. Probability Rules.

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Stat 35b: Introduction to Probability with Applications to Poker Outline for the day:

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Probability

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Statistics 1: Elementary Statistics

Statistics 1: Elementary Statistics. Section 4-6. Probability. Chapter 3 Section 2: Fundamentals Section 3: Addition Rule Section 4: Multiplication Rule #1 Section 5: Multiplication Rule #2 Section 6: Simulating Probabilities Section 7: Counting. Simulating Probabilities.

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3.3 The Addition Rule

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