'Standard normal random variable' diaporamas de présentation

Descriptive Statistics-II

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Chapter The Normal Probability Distribution

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Your 4 th homework is assigned. It is due on 12 th of Feb, 11:59 pm.

Your 4 th homework is assigned. It is due on 12 th of Feb, 11:59 pm. c) 0.35. d) 0.2522. e) 0.2616. a) Adult not working during summer vacation. b) The experiment consist of 10 identical trials. A trial for this experiment is an individual.

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Random Variables and Probability Distributions

Random Variables and Probability Distributions. Kanchala sudtachat. Content. Random Variables Probability Discrete Random Variables Discrete Uniform Distribution Binomial Distribution Poisson Distribution Continuous Random Variables Continuous Uniform Distribution Normal Distribution

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Chapter 8

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Lesson 2 - 2

Lesson 2 - 2. Normal Distributions. Knowledge Objectives. Identify the main properties of the Normal curve as a particular density curve List three reasons why normal distributions are important in statistics Explain the 68-95-99.7 rule (the empirical rule)

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7.1

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Continuous Probability Distributions

Continuous Probability Distributions. Statistics for Management and Economics Chapter 8. Probability Density Functions. Unlike a discrete random variable which we studied in Chapter 7, a continuous random variable is one that can assume an uncountable number of values.

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Introduction to Probability and Statistics

Introduction to Probability and Statistics. Chapter 6 The Normal Probability Distribution. Continuous Random Variables. Continuous random variables can assume infinitely many values corresponding to points on a line interval. Examples: Heights, Weights Lifetime of a particular product

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Introduction to Probability and Statistics

Introduction to Probability and Statistics. Chapter 6 The Normal Probability Distribution. Continuous Random Variables. Continuous random variables can assume infinitely many values corresponding to points on a line interval. Examples: Heights, Weights Lifetime of a particular product

606 views • 30 slides

Introduction to Probability and Statistics

Introduction to Probability and Statistics. Chapter 6 The Normal Probability Distribution. Continuous Random Variables. Continuous random variables can assume infinitely many values corresponding to points on a line interval. Examples: Heights, Weights Lifetime of a particular product

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Sampling Distribution of S 2

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Some facts about Power Series

Some facts about Power Series. Consider the power series with non-negative coefficients a k . If converges for any positive value of t , say for t = r , then it converges for all t in the interval [ -r, r ] and thus defines a function of t on that interval.

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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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Section 6.2 Tests of Significance

Section 6.2 Tests of Significance. Our goal is to assess the evidence provided by the data in favor of some claim about the population. Stating Hypotheses Hypotheses are statements about the parameter .

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Section 6.2 Tests of Significance

Section 6.2 Tests of Significance. Our goal is to assess the evidence provided by the data in favor of some claim about the population. Stating Hypotheses Hypotheses are statements about the parameter .

301 views • 16 slides

Warm Up: 2003 AP FRQ #2

Warm Up: 2003 AP FRQ #2. 7.1 Discrete and Continuous Random Variables. We usually denote random variables by capital letters such as X or Y When a random variable X describes a random phenomenon, the sample space S just lists the possible values of the random variable.

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Lecture 18

Lecture 18. On Normal random variables. Review: 1D pdf. f X (x). x. a. b. Review: 2D pdf. y. R. x. Review: independence. y. If X and Y are independent, then f X,Y (x,y) = f X (x)f Y (y). d. R. c. Justification. a. b. x. R: X+Y ? z. Review: Sum of 2 random variables.

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Warm Up: 2003 AP FRQ #2

Warm Up: 2003 AP FRQ #2. 7.1 Discrete and Continuous Random Variables. We usually denote random variables by capital letters such as X or Y When a random variable X describes a random phenomenon, the sample space S just lists the possible values of the random variable.

234 views • 13 slides

Lecture 8

Lecture 8. Normal Distribution and Standard Normal Distribution. The Normal Distribution The most important continuous distribution. The continuous rv X, whose pdf is given above, is said to be normally distributed with parameters ? and ? 2 . We often use the abbreviation N(?,? 2 ).

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