The probability that a household has a VCR given that it has a television is approximately 57.95%. This is calculated by dividing the percentage of households with both a television and VCR by the percentage of households with a television.
The probability that a household has a VCR given that it has a television can be found using the conditional probability formula:
![\[ P(\textVCR ) = \frac{P(\text{VCR and Television})}{P(\text{Television})} \]](https://img.qammunity.org/2024/formulas/mathematics/high-school/6zwvc0bzannsvjejw6qsha09vgml1gh0ij.png)
Given:
-
(probability that a household has a television)
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(probability that a household has both a television and a VCR)
Plug these values into the formula:
![\[ P(\text Television) = (51\%)/(88\%) \]](https://img.qammunity.org/2024/formulas/mathematics/high-school/847yz3m6srqj3zlohoifi61nwq783sn1s6.png)
![\[ P(\textVCR ) \approx (51)/(88) \]](https://img.qammunity.org/2024/formulas/mathematics/high-school/qi4nqaata20xk2regq22pe07cgidoac15r.png)
This simplifies to approximately:
![\[ P(\textVCR ) \approx 0.5795 \]](https://img.qammunity.org/2024/formulas/mathematics/high-school/xiagqqy0rila0mvz826oniucg4a8jwm8fq.png)
Therefore, the probability that a household has a VCR given that it has a television is approximately 0.5795 or 57.95%.