Question #66916

A survey was recently done in a certain town to determine readership of newspapers available. 50% of the resident read Daily Nation, 60% read the standard and 20% read both newspapers. Determine the probability that a resident selected does not read any newspaper.
1

Expert's answer

2017-03-29T17:36:06-0400

Answer on Question #66916 – Math – Statistics and Probability

Question

A survey was recently done in a certain town to determine readership of newspapers available. 50% of the resident read Daily Nation, 60% read The Standard and 20% read both newspapers. Determine the probability that a resident selected does not read any newspaper.

Solution

Let's denote the events as follows:


A={selected resident reads Daily Nation},B={selected resident reads The Standard},C={selected resident does not read any newspaper},AB={selected resident reads Daily Nation and The Standard},AB={selected resident reads Daily Nation or The Standard, or both}.\begin{array}{l} A = \{\text{selected resident reads Daily Nation}\}, \\ B = \{\text{selected resident reads The Standard}\}, \\ C = \{\text{selected resident does not read any newspaper}\}, \\ A \cap B = \{\text{selected resident reads Daily Nation and The Standard}\}, \\ A \cup B = \{\text{selected resident reads Daily Nation or The Standard, or both}\}. \end{array}


The question states that


P(A)=0.5,P(B)=0.6,P(AB)=0.2.P(A) = 0.5, P(B) = 0.6, P(A \cap B) = 0.2.


Now assuming there are only two newspapers in the town, we have


P(C)=P(U(AB))=P(U)P(AB)=1P(AB),P(C) = P(U \setminus (A \cup B)) = P(U) - P(A \cup B) = 1 - P(A \cup B),


where UU is the universal set, the set of all possible outcomes,


P(U)=1.P(U) = 1.


By the inclusion-exclusion principle,


P(AB)=P(A)+P(B)P(AB).P(A \cup B) = P(A) + P(B) - P(A \cap B).


So


P(C)=1P(A)P(B)+P(AB)=10.50.6+0.2=0.1.P(C) = 1 - P(A) - P(B) + P(A \cap B) = 1 - 0.5 - 0.6 + 0.2 = 0.1.


**Answer**: P({selected resident does not read any newspaper})=0.1P(\{ \text{selected resident does not read any newspaper} \}) = 0.1.

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