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COMM_V 190 101-104 2025W1 Practice Midterm

Multiple dropdown selections

Below is the sensitivity report for the Gluten problem. For each of the eight missing cells, choose the appropriate value from the dropdown menu. a: [ Select ] 0 1000 160 4 666.667 867.692 12000 3 250.667 840 5000 2000 1E+30 0.5 2256 1E-30 None b: [ Select ] 5000 250.667 0.5 160 None 1E-30 840 2000 0 3 1E+30 2256 4 12000 867.692 666.667 1000 c: [ Select ] 4 2256 1E+30 None 160 1E-30 250.667 867.692 0.5 1000 840 666.667 2000 12000 3 0 5000 d: [ Select ] 3 1000 1E+30 840 5000 None 867.692 4 160 2000 2256 0.5 666.667 12000 1E-30 0 250.667 e: [ Select ] 666.667 2256 260.667 1E+30 5000 867.692 160 12000 0 3 840 1E-30 2000 4 None 0.5 1000 f: [ Select ] 666.667 1E+30 840 1E-30 4 2000 2256 5000 3 0 250.667 12000 160 0.5 1000 867.692 None g: [ Select ] 1E+30 0 4 666.667 160 1E-30 None 5000 250.667 3 0.5 867.692 1000 2000 12000 840 2256 h: [ Select ] 2000 5000 1000 4 867.692 250.667 666.667 3 1E-30 None 12000 160 0 840 2256 0.5 1E+30

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The question provides eight missing cells (a through h) for a sensitivity report and lists, for each cell, a long dropdown menu of possible numeric and special values. The given answer indicates the selections chosen for each cell in order: a = 0.5, b = 4, c = 1000, d = 5000, e = 666.667, f = 0, g = 2000, h = 1E+30. Because the prompt does not show the actual dropdown options next to each cell (the provided text for answer_options is empty in the JSON), I cannot definitively verify which of the listed options are valid for each specific cell. Instead, I will analyze the nature of the candidate values and discuss, assign-by-assignment, what kinds of selections make sense in sensitivity contexts, and why some values tend to be plausible or implausible, given common conventions. General note about the values you might see in sensitivity reports: - Very small or very large exponents (1E-30, 1E+30) typically represent near-zero/zero or effectively infinite sensitivity bounds, respectively. These are often placeholders indicating the effect is negligible or unbounded within the tested range. - Values like 0, 0.5, or 1 (if present) frequently indicate a baseline or a fractional or normalized setting. A 0 might represent no change, while......Login to view full explanation

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