This question evaluates financial modeling, expected-value decision-making, probability reasoning, and sensitivity analysis skills applied to revenue, variable and fixed cost interactions and contractual fee impacts, aimed at a Data Scientist role.

You are evaluating the financial impact of capacity expansion for a theme park. Current operations and pricing are stable. The land-owner fee is a percentage of gross revenue. Ticket prices do not change under any scenario.
(a) Compute current annual revenue, total variable cost, land-owner fee at 5% of revenue, and profit.
(b) Expansion Option A: Acquire an adjacent 1,000 acres (total becomes 3,000 acres). Under the acquisition terms, the land-owner fee rate increases from 5% to 10%. Assume entries and ticket sales scale proportionally with acreage (i.e., by a factor of 3,000/2,000 = 1.5). Fixed operating cost remains 22. Compute the profit under Option A.
(c) Expansion Option B (bid): You may bid for the same 1,000 acres such that, if you win (80% probability), the land-owner fee remains 5% at 3,000 acres; if you lose (20%), you stay at 2,000 acres with the current 5% fee. Compute the expected profit of bidding and compare to parts (a) and (b). Recommend the best option.
(d) Sensitivity under 3,000 acres:
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