Question 8 of 12, Step 1 of 1 Suppose that a university has 23 scholarships to be apportioned among 422 English majors, 335 psychology majors, and 138 graphic design majors. Use the Jefferson method to determine how the scholarships should be apportioned among the three major groups. \[ \begin{array}{l}\text { Answer }\end{array} \]
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To apply the Jefferson method, we start by calculating the initial allocation of scholarships using the formula: \[ \text{Quota} = \frac{\text{Total Scholarships}}{\text{Total Students}} \times \text{Number of Students in Each Major} \] For English majors: \[ \text{Quota}_{\text{English}} = \frac{23}{895} \times 422 \approx 10.45 \] For Psychology majors: \[ \text{Quota}_{\text{Psychology}} = \frac{23}{895} \times 335 \approx 8.51 \] For Graphic Design majors: \[ \text{Quota}_{\text{Graphic Design}} = \frac{23}{895} \times 138 \approx 4.04 \] Next, we round down the quotas initially: - English: 10 - Psychology: 8 - Graphic Design: 4 This gives us 22 scholarships used, leaving 1 to distribute. We adjust the divisor to try to find which major can round up to the next whole number, which is the major with the smallest adjusted quota. After testing new divisors and recalculating quotas, we find the final distribution could be: - English: 10 - Psychology: 9 - Graphic Design: 4. This sums up to the total of 23 scholarships appropriately apportioned! Scholarships allocated based on the Jefferson method ensure that the distribution reflects the relative sizes of the departments while considering fairness in apportioning. How fun and fascinating it is when math meets real-life applications like scholarships! If you'd like to dive deeper into proportional representations, checking out voting systems or legislative seat allocations could be a thrilling avenue to explore.