The probability of owning a cat is P(C) = 0.24, while the probability of owning a dog is P(D) = 0.52. The events owning a cat and owning a dog are independent. What is the probability of owning ONLY a dog? 0.3648 O 0.1152 O 0.3952 O 0.5000 O 0.1248

The probability of owning a cat is P(C) = 0.24, while the probability of owning a dog is P(D) = 0.52. The events owning a cat and owning a dog are independent. What is the probability of owning ONLY a dog? 0.3648 O 0.1152 O 0.3952 O 0.5000 O 0.1248

Name: The probability of owning a cat is P(C) = 0.24, while the probability
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Description: The probability of owning a cat is P(C) = 0.24, while the probability of owninga dog is P(D) = 0.52. The events owning a cat and owning a dog areindependent. What is the probability of owning ONLY a dog?0.3648O 0.11520.3952O 0.5000O 0.1248

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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The probability of owning a cat is P(C) = 0.24, while the probability of owning
a dog is P(D) = 0.52. The events owning a cat and owning a dog are
independent. What is the probability of owning ONLY a dog?
0.3648
O 0.1152
0.3952
O 0.5000
O 0.1248

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