'Discrete probability distribution' presentation slideshows

Chapter 15: Financial Risk Management: Techniques and Applications

1.24k views • 52 slides

Chapter 3: Modeling Process Quality Describing Variation Frequency Distribution & Histogram

Chapter 3: Modeling Process Quality Describing Variation Frequency Distribution & Histogram Numerical Summary of Data Probability Distribution Important Distributions Some Useful Approximations. Need for Statistics. Some variation is inevitable in manufacturing processes.

867 views • 51 slides

Dr. Imad Khamis

Dr. Imad Khamis. Probability: The Study of Randomness. OBJECTIVES. To define the term probability. To discuss the classical, the relative frequency, and the subjective approaches to probability. To understand the terms experiment, event, and outcome.

1.19k views • 47 slides

Streamlining Uncertainty Conceptual Model and Scenario Uncertainty

Streamlining Uncertainty Conceptual Model and Scenario Uncertainty. FRAMES-2.0 Workshop U.S. Nuclear Regulatory Commission Bethesda, Maryland November 15-16, 2007 Pacific Northwest National Laboratory Richland, Washington. Model Applications.

609 views • 35 slides

Thinking About Probability

Thinking About Probability Outline Basic Idea Different types of probability Definitions and Rules Conditional and Joint probabilities Essentials of understanding stats Discrete and Continuous probability distributions Density Permutations A visit to the Binomial distribution

711 views • 33 slides

Discrete Probability Distributions

Discrete Probability Distributions. Random Variable. Random experiment is an experiment with random outcome. Random variable is a variable related to a random event. Discrete - Continuous. Random variable is discrete if it can take no more than countable number of values

423 views • 29 slides

Chapter 4

Chapter 4. Discrete Probability Distributions. Chapter Outline. 4.1 Probability Distributions 4.2 Binomial Distributions 4.3 More Discrete Probability Distributions. Section 4.1. Probability Distributions. Section 4.1 Objectives.

737 views • 25 slides

Bennie Waller wallerbd@longwood.edu 434-395-2046 Longwood University 201 High Street Farmville, VA 23901

Bennie Waller wallerbd@longwood.edu 434-395-2046 Longwood University 201 High Street Farmville, VA 23901. Bennie Waller wallerbd@longwood.edu 434-395-2046 Longwood University 201 High Street Farmville, VA 23901. CHARACTERISTICS OF A PROBABILITY DISTRIBUTION

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4.1 Probability Distributions

4.1 Probability Distributions. Discrete and continuous random variables Constructing discrete probability distributions and their graphs Verifying probability distributions Mean, variance, and standard deviations of discrete probability distributions Expected values. Random variable.

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Chapter 5 Discrete Probability Distribution

I. Basic Definitions II. Summary Measures for Discrete Random Variable Expected Value (Mean) Variance and Standard Deviation III. Two Popular Discrete Probability Distributions Binomial Distribution Poisson Distribution. Chapter 5 Discrete Probability Distribution.

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Introduction to Probability Distributions

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Chris Morgan, MATH G160 csmorgan@purdue.edu March 19 , 2011 Lecture 23

Chris Morgan, MATH G160 csmorgan@purdue.edu March 19 , 2011 Lecture 23. Chapter 7.3, 7.4, & 7.5: Point Estimation, Sampling Distribution of x-bar and p-bar . Sampling Distribution of.

775 views • 16 slides

A Discrete Probability Distribution: The Binomial Distribution

A Discrete Probability Distribution: The Binomial Distribution. MSIT 3000 Lecture 06. Objectives:. Recognize situations in which it is appropriate to use a binomial distribution. Be able to use the binomial distribution to calculate probabilities.

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Binomial and Poisson Probability Distributions

475 views • 14 slides

Discrete probability distributions

Discrete probability distributions . Chapter 5 . Section 5-1: Introduction Section 5-2: Probability Distributions Section 5-3: Mean, Variance, Standard Deviation and Expectation Section 5-4: The Binomial Distribution Section 5-6: Summary. Outline.

352 views • 11 slides

Discrete probability distributions

Discrete probability distributions . Chapter 5 . Section 5-1: Introduction Section 5-2: Probability Distributions Section 5-3: Mean, Variance, Standard Deviation and Expectation Section 5-4: The Binomial Distribution Section 5-6: Summary. Outline.

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Probability Distributions

376 views • 8 slides

Mean, variance, standard deviation and expectation

Mean, variance, standard deviation and expectation. Section 5-3 . Objectives. Find the mean, variance, standard deviation, and expected value for a discrete random variable . Introduction.

566 views • 7 slides

Probability Distributions & STATA

192 views • 7 slides

Characteristic Functions

Characteristic Functions. 1. Bernoulli Distribution . he Bernoulli distribution is a discrete distribution having two possible outcomes labelled by n=0 and n=1 in which n=1 ("success") occurs with probability p

291 views • 4 slides