'General addition rule' diaporamas de présentation

Chapter Five

Chapter Five. Elementary Probability Theory. Probability. Probability is a numerical measurement of likelihood of an event. The probability of any event is a number between zero and one . Events with probability close to one are more likely to occur.

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Chapters 14 and 15

Chapters 14 and 15. Probability and counting. Birthday Problem. What is the smallest number of people you need in a group so that the probability of 2 or more people having the same birthday is greater than 1/2 ? Answer: 23 No. of people 23 30 40 60 Probability .507 .706 .891 .994.

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Probability

Probability. Formal study of uncertainty The engine that drives statistics. Introduction. Nothing in life is certain We gauge the chances of successful outcomes in business, medicine, weather, and other everyday situations such as the lottery (recall the birthday problem). History.

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Probability

Probability. Definition: randomness, chance, likelihood, proportion, percentage, odds. Not sure what will happen in a single event but, in the long run, certain patterns emerge. Probability is the mathematical ideal. We use letters like X and Y to represent quantities.

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mrburkemath.blogspot/2010/12/snow-days.html

http://mrburkemath.blogspot.com/2010/12/snow-days.html. Part 1: Randomness. http://mikeess-trip.blogspot.com/2011/06/gambling.html. Applications of Probability. Games of Chance Diagnosis of Diseases Engineering Biology/agriculture Physics/Chemistry Business Management Computer Science.

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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.

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Section 5.1-5.2

Section 5.1-5.2. Probability Addition Rule and Complements . Subjective Probability. A subjective probability of an outcome is a probability obtained on the basis of personal judgment. Probability of an outcome . Is the likelihood of observing the outcome

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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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Chapter 15: Probability Rules!

Chapter 15: Probability Rules!. AP Statistics. Vocab (quick). Probability: Long-run relative frequency Event : any set or collection of outcomes Sample Space: The collection of all possible outcomes. Vocab (quick).

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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

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Section 5.2

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Two-Way Tables and Venn Diagrams

Two-Way Tables and Venn Diagrams. Warm-up.

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Birthday Problem

Birthday Problem. The probability of 2 people having the same birthday in a room of 41 people is 90%. To randomly select ___ birthdays, randInt (1, 365, __) ?L1:SortA(L1) This will sort the day in increasing order; scroll through the list to see duplicate birthdays. Repeat many times.

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Chapter 6 - Probability

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Chapter 6

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Chapter 7

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Two-Way Tables

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5.2 Day Two

5.2 Day Two. Two Way Tables Venn Diagrams Probability. Learning Targets. I can use a Venn diagram to model a chance process involving two events. I can use the general addition rule to calculate P(AUB). Two-Way Tables.

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Chapter 15 Probability Rules!

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