Data from a 2016 survey in Country A has the following probabilities of happiness for each sex. Find the probability that if a given person ispretty happy, the respondent is female.meProportion0.487Very HappyPretty HappyNot Too HappySexMale0.2940.5720.134e:Female0.5130.2720.5560.172st WLet F = Female, E= Pretty Happy, C = Very Happy, and D= Not Too Happy.P(F) = and P (F') =rre%3D%3Dtem

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Description: Data from a 2016 survey in Country A has the following probabilities of happiness for each sex. Find the probability that if a given person ispretty happy, the respondent is female.meProportion0.487Very HappyPretty HappyNot Too HappySexMale0.2940.57

Introduction: Suppose X and Y are two events, with respective probabilities P (X) and P (Y). Denote…

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Data from a 2016 survey in Country A has the following probabilities of happiness for each sex. Find the probability that if a given person is pretty happy, the respondent is female. Proportion 0.487 Very Happy 0.294 Pretty Happy 0.572 Not Too Happy 0.134 0.172 Sex Male Female 0.513 0.272 0.556 Let F = Female, E= Pretty Happy, C= Very Happy, and D = Not Too Happy. P(F) = and P (F') =D

Data from a 2016 survey in Country A has the following probabilities of happiness for each sex. Find the probability that if a given person is pretty happy, the respondent is female. Proportion 0.487 Very Happy 0.294 Pretty Happy 0.572 Not Too Happy 0.134 0.172 Sex Male Female 0.513 0.272 0.556 Let F = Female, E= Pretty Happy, C= Very Happy, and D = Not Too Happy. P(F) = and P (F') =D

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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

Data from a 2016 survey in Country A has the following probabilities of happiness for each sex. Find the probability that if a given person is
pretty happy, the respondent is female.
me
Proportion
0.487
Very Happy
Pretty Happy
Not Too Happy
Sex
Male
0.294
0.572
0.134
e:
Female
0.513
0.272
0.556
0.172
st W
Let F = Female, E= Pretty Happy, C = Very Happy, and D= Not Too Happy.
P(F) = and P (F') =
rre
%3D
%3D
tem

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