'Probability experiment' presentation slideshows

Chapter

Chapter. 5. Probability. Section. 5.1. Probability Rules. Probability is a measure of the likelihood of an event occurring. Probability describes the long-term ratio with which a certain outcome will occur. ( Ex: ).

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Chapter 4

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CHAPTER 5 Probability Distributions

CHAPTER 5 Probability Distributions. Outline. 5-1 Introduction 5-2 Probability Distributions 5-3 Mean, Variance, and Expectation 5-4 The Binomial Distribution. Objectives. Construct a probability distribution for a random variable.

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Probability

Probability Student Outcome: I will be able to write probabilities as ratios, fractions and percents. Probability : is the likelihood or chance of an event occurring. Outcome : any possible result of a probability event. Favourable Outcome : a successful result in a probability event.

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Chapter 3

Chapter 3. Probability. Chapter Outline. 3.1 Basic Concepts of Probability 3.2 Conditional Probability and the Multiplication Rule 3.3 The Addition Rule 3.4 Additional Topics in Probability and Counting. Section 3.1. Basic Concepts of Probability. Section 3.1 Objectives.

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Section 3.1

Basic Concepts of Probability. Section 3.1. Section 3.1 Objectives. Identify the sample space of a probability experiment Identify simple events Use the Fundamental Counting Principle Distinguish among classical probability, empirical probability, and subjective probability

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6.1

6.1. Discrete Random Variables. Random Variables. A random variable is a numeric measure of the outcome of a probability experiment Random variables reflect measurements that can change as the experiment is repeated

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Probability

Probability. The chance of an event occurring. Symbol: P(x). Probability Experiment. A chance process that leads to well-defined results called outcomes. Example: Roll a die. Sample Space. The set of all possible outcomes of a probability experiment Symbol: S.

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Random Variable

Random Variable. A numerical measure of the outcome of the probability experiment whose value is determined by chance. Random variables. Typically denoted by capital letters, such as X. X= 0, 1, or 2 for the number of heads in two flips of a coin.

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AP Stats BW 10/1

Identify the sampling technique used and discuss potential sources of bias (if any). Explain. For quality assurance, every fortieth toothbrush is taken from each of 4 assembly lines and tested to make sure the bristles stay in the toothbrush.

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Probability & Counting Rules

Probability & Counting Rules. Chapter 4 Created by Laura Ralston Revised by Brent Griffin. 4-1 Introduction 4-2 Sample Spaces & Probability 4-3 The Addition Rules for Probability 4-4 The Multiplication Rules & Conditional Probabilities 4-5 Counting Rules

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PROBABILITY

PROBABILITY It is a measure of the likelihood of a random phenomenon or chance behavior. Probability describes the long-term proportion with which a certain outcome will occur in situations with short-term uncertainty. EXAMPLE:

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Chi-Square Tests and the F - Distribution

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Lesson 6 - 3

Lesson 6 - 3. Poisson Probability Distribution. Objectives. Understand when a probability experiment follows a Poisson process Compute probabilities of a Poisson random variable Find the mean and standard deviation of a Poisson random variable. Vocabulary.

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Lesson 8-S1

Lesson 8-S1. Poisson Probability Distribution. Objectives. Understand when a probability experiment follows a Poisson process Compute probabilities of a Poisson random variable Find the mean and standard deviation of a Poisson random variable. Vocabulary.

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Probability Distributions

Probability Distributions. Chapter 7. The random variable X has a single value for each outcome within an experiment Discrete variables have separate and equi -distant values from each other Ex. 1, 2, 3, and 4 Continuous variables have an infinite number of possible values Ex. 1.2367

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Rolling Two Number Cubes

Rolling Two Number Cubes. Good practice for addition of numbers in primary. Play some games See who is the first one to fill all the boxes 2-12 on their strip. Keep track of the number of repeats I win if the sum is 5,6,7,or 8 you win the rest.

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3.1 Basic Concepts of Probability and Counting

3.1 Basic Concepts of Probability and Counting. What are we going to learn about? Probability Experiments The Fundamental Counting Principal The Three Different Types of Probabilities Complementary Events Applications. 3.1 Basic Concepts of Probability and Counting.

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6.16

6.16. The student will compare and contrast dependent and independent events and determining probabilities for dependent and independent events. . Pg Practice 6.16 Sample Space

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