A hostel has 800 boys. 75% boys play hockey and 50% boys play football. If each boy plays hockey or football or both, then how many boys play both sports?

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Understand the Problem

The question is asking how many boys in a hostel play both hockey and football, given the percentages of boys who play each sport. It requires applying principles of set theory or Venn diagrams to solve.

Answer

The number of boys who play both sports is 200.
Answer for screen readers

The number of boys who play both sports is 200.

Steps to Solve

  1. Define the total number of boys

The total number of boys in the hostel is given as 800.

  1. Calculate the number of boys playing hockey

75% of the boys play hockey. We can calculate this as: $$ \text{Number of boys playing hockey} = 0.75 \times 800 = 600 $$

  1. Calculate the number of boys playing football

50% of the boys play football. We can calculate this as: $$ \text{Number of boys playing football} = 0.50 \times 800 = 400 $$

  1. Use the principle of inclusion-exclusion

Let ( A ) represent the boys playing hockey and ( B ) represent the boys playing football. According to the principle of inclusion-exclusion: $$ |A \cup B| = |A| + |B| - |A \cap B| $$ Where ( |A \cup B| ) is the total number of boys who play hockey or football (or both). Since all boys play at least one sport, we have: $$ |A \cup B| = 800 $$

Substituting the known values: $$ 800 = 600 + 400 - |A \cap B| $$

  1. Solve for the number of boys playing both sports

Rearranging the equation to find ( |A \cap B| ): $$ |A \cap B| = 600 + 400 - 800 = 200 $$

The number of boys who play both sports is 200.

More Information

This problem illustrates how to apply set theory, particularly the principle of inclusion-exclusion, to determine the overlap between two groups. It also highlights the importance of calculating percentages in relation to a whole.

Tips

  • Forgetting to convert percentages to decimals before performing calculations.
  • Not accounting for the total number of participants correctly, leading to errors in the inclusion-exclusion step.
  • Misunderstanding the concept of "both" and incorrectly interpreting the percentages.

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