6. The probability that a person visiting his dentist will have an X-ray is 0.6; the probability that a person who has an X-ray will also have a cavity filled is 0.3; and the probability that a person who has had an X-ray and a cavity filled will also have a tooth extracted is 0.1. What is the probability that a person visiting his dentist will have an X-ray, a cavity filled, and a tooth extracted?

6. The probability that a person visiting his dentist will have an X-ray is 0.6; the probability that a person who has an X-ray will also have a cavity filled is 0.3; and the probability that a person who has had an X-ray and a cavity filled will also have a tooth extracted is 0.1. What is the probability that a person visiting his dentist will have an X-ray, a cavity filled, and a tooth extracted?

Name: 6. The probability that a person visiting his dentist will have an X-
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Description: 6. The probability that a person visiting his dentist will have an X-ray is 0.6; the probability thata person who has an X-ray will also have a cavity filled is 0.3; and the probability that a personwho has had an X-ray and a cavity filled will also

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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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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Question

6. The probability that a person visiting his dentist will have an X-ray is 0.6; the probability that
a person who has an X-ray will also have a cavity filled is 0.3; and the probability that a person
who has had an X-ray and a cavity filled will also have a tooth extracted is 0.1. What is the
probability that a person visiting his dentist will have an X-ray, a cavity filled, and a tooth
extracted?

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