'Bernoulli trial' diaporamas de présentation

Chapter 4:

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Expectation

Expectation. Let X denote a discrete random variable with probability function p ( x ) (probability density function f ( x ) if X is continuous ) then the expected value of X, E ( X ) is defined to be:. and if X is continuous with probability density function f ( x ).

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Stats for Engineers: Lecture 3

Stats for Engineers: Lecture 3.

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Probability Models

Probability Models. The Bernoulli Family. The Bernoulli Family. What is a Bernoulli trial? Q1: do not use wikipedia !. 3 characteristics: two possibilities (yes/no, true/false, success/failure) constant probability of success

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Write

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Ch.10 The Binomial Formula

Ch.10 The Binomial Formula. Sequence of Success and Fail Bernoulli Random Variable & Binomial Distribution 3. The Binomial Formula. 1. 3. Bernoulli Random Variable & Binomial Distribution. 2. INDEX. Sequence of Successes and Failures. The Binomial Formula.

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Logistic Regression

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7.3 Binomial Trials

7.3 Binomial Trials . Binomial Trials: Success/Failure Probability of k Successes. Binomial Trials: Success/Failure. An experiment with just 2 outcomes is called a binomial trial (or Bernoulli trial. ) One outcome is labeled a success and the other is labeled a failure.

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?? ??? Binomial

?? ??? Binomial. ??? ?? ? Bernoulli Trial ? ????????????????? ?? ? S ? ? ?? ?? ? F ? ? ???????? P ? S ? ? p ????????? P ? F ? ? 1 ? p ? ???????????? ?? n ???????????????????? X ? n ??????????? X ??????????????. ?? ??

1.06k views • 7 slides