6. Consider the table for the following probabilities. Males Females Totals (in Millions) Never married 41.6 36.9 78.5 Married 64.4 63.1 127.5 Totals 106 100 | (in Millions) a. Compute the probability that a randomly selected individual has not married given the individual is male. b. Compute the probability that a randomly selected individual is male given the individual has not married.
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.
6. Consider the table for the following probabilities. Males Females Totals (in Millions) Never married 41.6 36.9 78.5 Married 64.4 63.1 127.5 Totals (in Millions) 106 100
a. Compute the probability that a randomly selected individual has not married given the individual is male.
b. Compute the probability that a randomly selected individual is male given the individual has not married.


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