PPT-6.2 Binomial Probability Distribution

Author : olivia-moreira | Published Date : 2016-07-07

Objectives By the end of this section I will be able to Explain what constitutes a binomial experiment Compute probabilities using the binomial probability formula

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6.2 Binomial Probability Distribution: Transcript


Objectives By the end of this section I will be able to Explain what constitutes a binomial experiment Compute probabilities using the binomial probability formula Find probabilities using the binomial tables. 2/29/2012. Review. When playing roulette at the Bellagio casino in Las Vegas, a gambler is trying to decide whether to bet $5 on the number 13 or to bet $5 that the outcome is any one of these five possibilities: 0 or 00 or 1 or 2 or 3. From Example 8, we know that the expected value of the $5 bet for a single number is -26₵. For the $5 bet that the outcome is 0 or 00 or 1 or 2 or 3, there is a probability of 5/38 of making a net profit of $30 and a 33/38 probability of losing $5.. Probability Theorem. A binomial is a polynomial with two terms such as . x. + . a. . Often we need to raise a binomial to a power. In this section we'll explore a way to do just that without lengthy multiplication.. T.Jagannadha. . Swamy. Dept of . ECE,Griet. Random Variable. A random variable . x. takes on a defined set of values with different probabilities.. For example, if you roll a die, the outcome is random (not fixed) and there are 6 possible outcomes, each of which occur with probability one-sixth. . Binomial distributions. are models for some categorical variables, typically representing the . number of successes. in a series of . n. independent trials. . The observations must meet these requirements: . and Statistics. Chapter 5. Discrete Distributions. Discrete Random Variables. Discrete random variables take on only a finite or countable many of values. .. Number of heads in 1000 trials of coin tossing. Elementary Statistics: Picturing The World Sixth Edition Chapter 4 Discrete Probability Distributions Copyright © 2015, 2012, 2009 Pearson Education, Inc. All Rights Reserved Chapter Outline 4.1 Probability Distributions Elementary Statistics Thirteenth Edition Chapter 5 Probability Distributions Copyright © 2018, 2014, 2012 Pearson Education, Inc. All Rights Reserved Probability Distributions 5-1 Probability Distributions Binomial v. Geometric The primary difference between a binomial random variable and a geometric random variable is what you are counting. A binomial random variable counts the number of "successes" 6.3: Binomial and Geometric Random Variables After this section, you should be able to… DETERMINE whether the conditions for a binomial setting are met COMPUTE and INTERPRET probabilities involving binomial random variables Introduction to Probability and Statistics Chapter 5 Discrete Distributions Discrete Random Variables Discrete random variables take on only a finite or countable many of values . Number of heads in 1000 trials of coin tossing Chapter 8. Warm up. Find each combination or permutation. . 5 C 2. 10 C 3. 10 P 3. 8.1 The Binomial Distribution. A . binomial experiment. . is . statistical . experiment. that has the following properties: . Textbook: Sections 8.4, 8.5, 8.6. • Recognize the four conditions for a binomial random variable. • Calculate the mean and standard deviation for a binomial random variable. • Use probability notation for continuous random variables and relate this notation to area under a density function.. Binomial Distribution 1. Binomial Distribution 2. Additional Problems on Binomial Distribution. More Visual Representation. Binomial Distribution Tends to Normal for Large n. Binomial Distribution Tends to Normal for p Close to 0.5. Dr. Gavisiddappa . Gadag. Introduction:. . In case of population the values of variables are distributed according to some definite probability law which can be expressed mathematically and the corresponding probability distribution is known as...

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