Express the following probability as a simplified fraction and as a decimal. If one person is selected from the population described in the table, find the probability that the person is female, given that this person is married. Marital Status of a Certain Population, Ages 18 or Older, in Millions Never Married Married Divorced Widowed Total Male 63 39 15 4 121 Female 61 31 17 10 119 Total 124 70 32 14 240 Express the probability as a simplified fraction. The probability is (Type an integer or a simplified fraction.) Express the probability as a decimal. The probability is approximately (Round to two decimal places as needed.)
Express the following probability as a simplified fraction and as a decimal. If one person is selected from the population described in the table, find the probability that the person is female, given that this person is married. Marital Status of a Certain Population, Ages 18 or Older, in Millions Never Married Married Divorced Widowed Total Male 63 39 15 4 121 Female 61 31 17 10 119 Total 124 70 32 14 240 Express the probability as a simplified fraction. The probability is (Type an integer or a simplified fraction.) Express the probability as a decimal. The probability is approximately (Round to two decimal places as needed.)
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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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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