'Compound events' diaporamas de présentation

Introduction to Probability & Statistics Code 104 ???

Introduction to Probability & Statistics Code 104 ???. CREDIT HOURS: 4 UNIT Lecture 3.0 hours/week Tutorial 1.0 hour/on every week. This course introduces the students to the concept of probability and random variables Also deals with the conditional probability

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Basics of Probability

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Formal Models for Distributed Negotiations A Calculus of Compensations

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Spring 2013 Student Performance Analysis

Spring 2013 Student Performance Analysis. Grade 7 Mathematics Standards of Learning. Presentation may be paused and resumed using the arrow keys or the mouse. Simplifying Integer Expressions. SOL 7.3 The student will

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Lecture 11

Lecture 11. Introduction to Probability. Which one would you be most likely to play. Consider the following three games. Which one would you be most likely to play? Which one would you be least likely to play? Explain your answer mathematically.

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13.7 Interpret Stem-and-Leaf Plots and Histograms

13.7 Interpret Stem-and-Leaf Plots and Histograms. Essential Question: How do you make stem-and-leaf plots and histograms?. 1. The data gives the ages of people in an art class. Find the mean, median, and mode of the data. 38, 15, 13, 32, 13, 17, 29, 43. 2.

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Jeopardy!

Jeopardy!. Probability: Theoretical vs. Experimental $100. A bag contains 5 quarters, 3 pennies, and 8 dimes. Without looking, you choose a coin from the bag. What is true about the probability of selecting a dime from the bag ? Jeopardy.

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Bell Work

Bell Work. HINT: Use the fundamental counting principle and work backwards. Styles x Colors x Teams = 108 9 x Colors x 2 = 108 18 x Colors = 108 6 Colors. Independent and Dependent Events. Textbook page 391. Independent Events. Compound Events: Consists of two or more simple events.

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13.8 Interpret Box-and-Whisker Plots

13.8 Interpret Box-and-Whisker Plots. Essential Question: How do you make and interpret box-and-whisker plots?. 16, 16, no mode. ANSWER. 173.50, 173, 164. ANSWER. Lesson 13.8 , For use with pages 887-894. Warm-up Exercises. Find the mean, median, and mode(s) of the data.

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Probability of Compound Events

Standards: MM1D2a. Find the probabilities of mutually exclusive events. b. Find the probabilities of dependent events. c. Calculate conditional probabilities. Probability of Compound Events.

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a) tossing heads on the coin b) getting tails and a 5 c) getting tails or a 5

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Probability

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7.2 Union, intersection, complement of an event, odds

7.2 Union, intersection, complement of an event, odds. In this section, we will develop the rules of probability for compound events ( more than one event) and will discuss probabilities involving the union of events as well as intersection of two events.

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Probability

Probability . COMPOUND EVENTS . If two sets or events have no elements in common, they are called disjoint or mutually exclusive. Examples of mutually exclusive sets: Two fair dice are tossed, what is the probability of a sum of 7 or 11?

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GENERATIVE TOPIC

GENERATIVE TOPIC. THE SET OF RATIONAL NUMBERS. THROUGLINES. 1. How can I use Rational Numbers in my every-day life? 2. How can I do basic operations with rational numbers? 3. How can I place rational numbers on a number line?. UNDERSTANDING GOALS.

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Chapter 6 Review

Chapter 6 Review. By: Manpretty , Zunaira , Gaganvir and Armani. 6.1- Basic Probability Concepts. An event is a collection of outcomes satisfying a particular condition. The probability of an event can range between 0 (impossible) and 1 or 100% (certain)

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Compound probability

Compound probability. Period 2 Benchmark:MA6.14.1:compute probabilities of simple compound events . definition. Compound probability occurs when two events will happen at the same time. Example. If you flip a coin 3 times what is the probability of landing on heads.

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Compound Probability

Compound Probability. Pre-AP Geometry. Compound Events are made up of two or more simple events. I. Compound Events may be: A) Independent events - when the outcome of one does not affect the outcome of another P (A and B) = P (A) ? P (B)

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Probability: Tree Diagrams

Probability: Tree Diagrams. Today you will learn to: calculate the probability of an event using tree diagrams. M07.D-S. 3.1.1: Predict or determine whether some outcomes are certain, more likely, less likely, equally likely, or impossible.

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