Final answer:
In Part A, we calculate the scores for each park using the given metric. In Part B, we discuss how someone who enjoys hiking more than fishing can modify the metric.
Step-by-step explanation:
In Part A, we are given a metric to calculate a score for each park based on the online star rating, the number of hiking trails, and the weight of the best catch from previous fishing trips. The formula for the park score is:
Park Score = 100[0.2(online rating5)+0.4(miles of trails25)+0.4(fish weight10)]
Using this formula, we can calculate the score for each park:
Gooseberry Falls: Park Score = 100[0.2(4.825)+0.4(205)+0.4(9.810)]
Lake Maria: Park Score = 100[0.2(4.325)+0.4(145)+0.4(8.210)]
Maplewood: Park Score = 100[0.2(4.925)+0.4(255)+0.4(7.310)]
Camden: Park Score = 100[0.2(4.325)+0.4(158)+0.4(10.110)]
Rounding to the nearest tenth, the scores are:
Gooseberry Falls: 90.2
Lake Maria: 82.1
Maplewood: 75.9
Camden: 88.3
In Part B, if someone enjoys hiking much more than fishing, they could change the metric by assigning a higher weight to the hiking trails component. For example, they could modify the formula to:
Park Score = 100[0.3(online rating5)+0.6(miles of trails25)+0.1(fish weight10)]
This would give more importance to the miles of trails in the park score calculation.