'Finding probabilities' diaporamas de présentation

Continuous Probability Distributions

Continuous Probability Distributions. Chapter 7. Modified by Boris Velikson, fall 2009. GOALS. Understand the difference between discrete and continuous distributions. Compute the mean and the standard deviation for a uniform distribution.

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Statistics

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Chapter 7 The Normal Probability Distribution

Chapter 7 The Normal Probability Distribution. 7.1 Properties of the Normal Distribution. EXAMPLE Illustrating the Uniform Distribution

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Chapter 5 Normal Curve

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Section 3.4

Section 3.4. Additional Topics in Probability and Counting. Section 3.4 Objectives. Determine the number of ways a group of objects can be arranged in order Determine the number of ways to choose several objects from a group without regard to order

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Section 3.4

Section 3.4. Additional Topics in Probability and Counting. Section 3.4 Objectives. Determine the number of ways a group of objects can be arranged in order Determine the number of ways to choose several objects from a group without regard to order

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3.3 The Addition Rule

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Chapter 7 The Normal Probability Distribution

Chapter 7 The Normal Probability Distribution. 7.2 The Standard Normal Distribution. Properties of the Normal Density Curve

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Section 5.2

Section 5.2. Normal Distributions: Finding Probabilities. Section 5.2 Objectives. Find probabilities for normally distributed variables. ? = 500 ? = 100. P ( x < 600) = Area. x. ? =500. 600. Probability and Normal Distributions.

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Section 12.3 Odds

Section 12.3 Odds. What You Will Learn. Odds Against Finding Probabilities from Odds. Odds. The odds given at horse races, at craps, and at all gambling games in Las Vegas and other casinos throughout the world are always odds against unless they are otherwise specified.

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Section 5.2

Section 5.2. Normal Distributions: Finding Probabilities. Section 5.2 Objectives. Find probabilities for normally distributed variables. ? = 500 ? = 100. P ( x < 600) = Area. x. ? = 500. 600. Probability and Normal Distributions.

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3.3 The Addition Rule

3.3 The Addition Rule. Mutually Exclusive Events Addition Rule. Mutually Exclusive. Two events A and B are mutually exclusive if A and B cannot occur at the same time. Try it yourself 1. Mutually Exclusive Events

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Chapter Five

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