Statistics: Informed Decisions Using Data (4th Edition)

Published by Pearson
ISBN 10: 0321757270
ISBN 13: 978-0-32175-727-2

Chapter 4 - Section 4.4 - Assess Your Understanding - Applying the Concepts - Page 243: 12

Answer

The gender of a person and the happiness status are not related.

Work Step by Step

To find any association between the gender of a person and their happy status, the conditional probability of gender for provided health status is to be computed. The conditional distribution is the probability distribution of a random variable provided a fixed value for another random variable. So, to obtain the conditional distribution for a variable, the probability of that variable is computed according to the condition that another variable is imposed on it. Conditional distribution probabilities can be calculated using the formula \[\left( \begin{align} & \text{Conditional probability of }{{x}_{j}}\text{ variable} \\ & \text{ for given value of }{{y}_{i}}\text{ variable} \\ \end{align} \right)=\frac{\text{Joint frequency of }{{x}_{j}}\text{ and }{{y}_{i}}}{\text{Total frequency of }{{y}_{i}}}\] Conditional probability of males who are very happy \[\begin{align} & =\frac{7609}{11,606} \\ & =0.656 \end{align}\] Conditional probability of femaleswho are very happy \[\begin{align} & =\frac{7942}{12,849} \\ & =0.618 \\ \end{align}\] Conditional probability of males who are pretty happy \[\begin{align} & =\frac{3738}{11,606} \\ & =0.322 \\ \end{align}\] Conditional probability of females who are pretty happy \[\begin{align} & =\frac{4447}{12,849} \\ & =0.346 \\ \end{align}\] Conditional probability of males who are not too happy \[\begin{align} & =\frac{259}{11,606} \\ & =0.022 \\ \end{align}\] Conditional probability of females who are not too happy \[\begin{align} & =\frac{460}{12,849} \\ & =0.036 \\ \end{align}\]
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