A set of measurements is given as follows. X = [0, 0, 1, 0, 1, 0, 1, 0, 0, 1] We want to approximate the source of this data with Bernoulli distribution, i.e., X~Bernoulli(y), where y = p(X = 1). Approximate y based on the given data. Sketch the histogram of data and then normalize it.

A set of measurements is given as follows. X = [0, 0, 1, 0, 1, 0, 1, 0, 0, 1] We want to approximate the source of this data with Bernoulli distribution, i.e., X~Bernoulli(y), where y = p(X = 1). Approximate y based on the given data. Sketch the histogram of data and then normalize it.

Name: 1)A set of measurements is given as follows.X = [0, 0, 1, 0, 1, 0, 1,
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Description: 1)A set of measurements is given as follows.X = [0, 0, 1, 0, 1, 0, 1, 0, 0, 1]We want to approximate the source of this data with Bernoulli distribution, i.e.,X~Bernoulli(y), where y = p(X = 1). Approximate y based on the given data. Sketchthe histo

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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1)
A set of measurements is given as follows.
X = [0, 0, 1, 0, 1, 0, 1, 0, 0, 1]
We want to approximate the source of this data with Bernoulli distribution, i.e.,
X~Bernoulli(y), where y = p(X = 1). Approximate y based on the given data. Sketch
the histogram of data and then normalize it.

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