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Discrete Distributions

Discrete Distributions

Discrete Distributions. Random Variable. A random variable X is a function that maps the possible outcomes of an experiment to real numbers. That is X : C --> R , where C is the set of all outcomes of an experiment and R is the set of real numbers.

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1.18k views • 107 slides
Discrete Distributions

Discrete Distributions

Discrete Distributions. Random Variable. A random variable X is a function that maps the possible outcomes of an experiment to real numbers. That is X : C --> R , where C is the set of all outcomes of an experiment and R is the set of real numbers.

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1.22k views • 107 slides
Chapter 3. Discrete Random Variables and Probability Distributions

Chapter 3. Discrete Random Variables and Probability Distributions

Chapter 3. Discrete Random Variables and Probability Distributions. Weiqi Luo ( ??? ) School of Software Sun Yat-Sen University Email ? weiqi.luo@yahoo.com Office ? # A313. Chapter three: Discrete Random Variables and Probability Distributions. 3.1 Random Variables

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1.16k views • 83 slides
Introduction to Probability theory and statistical inference

Introduction to Probability theory and statistical inference

Introduction to Probability theory and statistical inference. Observations and random experiments. Observations. Observation ? random experiment (controlled) Outcome cannot be predicted with certainty Range of possible outcomes known

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680 views • 44 slides
Bubble Trouble

Bubble Trouble

Bubble Trouble. A statistical analysis of the Bubble Sort. The Guys Who Bring It To You. Jon Kroening Nick Jones Erik Weyers Andy Schieber Sean Porter. History and Background. Jon Kroening. The Bubble Sort. Popular algorithm used for sorting data

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544 views • 33 slides
Lecture 2

Lecture 2

Lecture 2. Discrete Random Variables Section 2.1-2.4. Definition. Each observation of an experiment is a random variable . (e.g. X) The set of possible values of a random variable is called the range of a random variable. (e.g. S X ). A random variable can be a function of the observation.

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513 views • 30 slides
Distributions and expected value

Distributions and expected value

Distributions and expected value. Onur DO?AN. Random Variable. Random Variable. Let S be the sample space for an experiment. A real-valued function that is defined on S is called a random variable. Distributions Probability Distributions. Discrete Distributions. Example 1.

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369 views • 22 slides

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