'Binomial random variables' diaporamas de présentation

Math 507, Lecture 6, Fall 2003

Math 507, Lecture 6, Fall 2003. Discrete Random Variables and Expected Value. Random Variables. Definitions A random variable X is a function whose domain is the sample space of some experiment and whose range is a subset of the real numbers.

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Chapter 5 Special Discrete Distributions

Chapter 5 Special Discrete Distributions. 5.1 Bernoulli and Binomial Random Variables 5.2 Poisson Random Variables 5.3 Other Discrete Random Variables. 5.1 Bernoulli and Binomial R.V. Definition

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Some Common Discrete Random Variables

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Binomial & Geometric Random Variables

Binomial & Geometric Random Variables. Section 6.3 Reference Text: The Practice of Statistics , Fourth Edition. Starnes, Yates, Moore. Objectives. Binomial Random Variables and Binomial Distribution Requirements to be Binomial- B.I.N.S Binomial Coefficient: by formula and TI-83

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Since everything is a reflection of our minds, everything can be changed by our minds.

Since everything is a reflection of our minds, everything can be changed by our minds. Random Variables. Section 4.6-4.14 Types of random variables Binomial and Normal distributions Sampling distributions and Central limit theorem Random sampling Normal probability plot.

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Meet the ladies!

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Chapter 6: Binomial Probability Distributions

Chapter 6: Binomial Probability Distributions. In Chapter 6:. 6.1 Binomial Random Variables 6.2 Calculating Binomial Probabilities 6.3 Cumulative Probabilities 6.4 Probability Calculators 6.5 Expected Value and Variance .. 6.6 Using the Binomial Distribution to Help Make Judgments.

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Jiaping Wang Department of Mathematical Science 04/22/2013, Monday

Chapter 8. Some Approximations to Probability Distributions: Limit Theorems Sections 8 .2 -- 8.3: Convergence in Probability and in Distribution. Jiaping Wang Department of Mathematical Science 04/22/2013, Monday. Outline. Convergence in Probability Convergence in Distribution.

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