A survey of 50 households records monthly electricity consumption. The average consumption of the top 20 consumers is 400 units, and the average of the bottom 20 consumers is 150 units. The overall average for all 50 households is 260 units.
If the consumption of every household is a distinct integer, what is the maximum possible value of the median consumption?
C
Step-by-Step Solution
Key idea: Overlapping Averages with Median Maximization. The median of 50 items is the average of the 25th and 26th values. However, in optimization problems with distinct integers, we often treat the "middle block" as a flexible buffer.
Step 1: Calculate Sums.
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The middle 10 households (ranks 21 to 30) sum to 2000. Their average is 200.
Step 2: Identify Median Position.
For , median is average of and . Both lie within the middle 10 block ().
To maximize the median, we must maximize and .
Step 3: Optimization Strategy.
To maximize specific elements in a fixed-sum set of distinct integers, minimize all other elements in that set.
We need to minimize AND ?
NO. To maximize , we should push the sum into them.
Actually, to maximize and , we must minimize the other 8 elements in the middle block ( and ).
Constraints on Minima:
Lower bound for middle block: Must be (max of bottom 20).
Max of bottom 20 (avg 150, distinct): To allow max flexibility for middle, we want to be as small as possible? No, just needs to be .
Actually, is determined by bottom 20 distribution. To maximize middle, we don't control bottom 20 internal distribution except that exists.
Wait, must be distinct from .
What is the absolute minimum for ?
Bottom 20 avg 150. Max possible could be high, min possible could be low.
BUT, is part of the middle block sum optimization.
To maximize , we need to be as small as possible.
Smallest distinct integers for depend on .
However, notice the gap: Avg Bot=150, Avg Mid=200. There is plenty of room.
Let's assume we can pick minimal consecutive integers for .
Let (to maximize, keep them close).
To maximize , minimize others.
Min : Must be . Minimal distinct: .
Min : Must be distinct. Let them be .
Constraint: .
To minimize sum of , we want smallest possible .
What is min ? .
Max possible in bottom 20 (avg 150)?
To minimize restriction on middle, we want to be small.
Can be small? Yes, e.g., avg ~140. Or even lower.
But must be consistent with being in the middle block.
Actually, simpler view: Just minimize to the absolute theoretical floor.
Since Avg Mid = 200 and Avg Bot = 150, can safely be assumed to be around 160-170 without violating bottom avg.
Let's try setting to minimal values compatible with .
Actually, the tightest constraint is usually internal to the middle block.
Let's express sum in terms of :
Assume .
Min .
Min : To maximize , these should be as small as possible.
Let's guess . Then can be roughly .
Sum .
Equation: .
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To max , min .
Lowest possible distinct integers for given .
Bottom 20 avg 150. Max could be 169 ({131..169}). Min could be much lower.
But must be .
Crucially, doesn't have a hard floor like "1", but practically, to sustain avg 200 for mid block, values can't be too low.
However, we are maximizing . If we set very low, goes up.
Is there a lower bound on ? Only .
Can we construct a bottom 20 where ? Yes (e.g. 140..159 avg 149.5).
So let's assume min .
Then min .
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This seems low compared to options.
Re-evaluation: The middle block average is 200. If , then are around 285. Average of top half of mid block ~282.
Then bottom half of mid block () must average around ? Impossible since .
Ah! The average of the middle block is FIXED at 200.
If are high, MUST be low.
But cannot be lower than .
And is bounded by Bottom Avg 150.
Max possible ? If bottom 20 are , avg=150. .
If bottom 20 are plus adjustments... no, distinct integers.
To maximize , we need to be small.
Smallest occurs when is small.
Can be 100? Yes, if others are higher. E.g. . Avg 150.
So theoretically could be 101.
BUT, is in the MIDDLE block.
Does the middle block have its own internal consistency?
Yes, .
If , then can be small.
Let's retry the calc with minimized aggressively.
Suppose are .
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Sum = .
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We need max integer .
Min ?
. Must be .
Also .
Substitute into eq:
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This contradicts the options (260+).
Critical Error Check: Did I calculate Middle Sum correctly?
Total = 13000. Top = 8000. Bot = 3000. Mid = 2000. Correct.
Mid Avg = 200. Correct.
Why are options so high?
Maybe "Median" refers to the median of the ENTIRE set, but I am calculating correctly.
Perhaps the Top/Bottom definitions overlap? "Top 20" and "Bottom 20". In a set of 50, these are disjoint. Ranks 1-20 and 31-50. Middle is 21-30. Correct.
Maybe the options imply can be higher?
If , .
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So .
Is it possible for ?
Requires .
Can Bottom 20 (avg 150) have max element ?
NO. If max is 74, sum . Avg .
Contradiction. Bottom Avg is 150.
Therefore, MUST be (actually higher since distinct).
Min possible for distinct set avg 150:
Maximize others to minimize max? No, to minimize max, pack tightly.
. Sum = 2990. Avg = 149.5.
Adjust to get 150: . Avg 150.5.
Closest is roughly centered at 150.
So is a safe hard bound.
Thus .
Back to .
Min .
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Max integer .
Why do options start at 260?
Possibility A: My Middle Sum calc is wrong.
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Calculation is robust.
Possibility B: "Top 20" and "Bottom 20" are NOT ranks 1-20 and 31-50.
Could they be overlapping? "Top 20 consumers" and "Bottom 20 consumers". In a set of 50, these are distinct sets.
Possibility C: The question meant "Median of the Middle 10"? No, "median consumption" implies global.
Possibility D: I am misinterpreting "Maximize Median".
Median of 50 is .
If , Median = 229.5.
Let's reconsider the numbers. Maybe Top Avg is 500?
If Top=500, Sum=10000. Mid=0. Impossible.
Maybe Overall Avg is 300?
. Mid Avg = 400.
Then .
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Okay, looking at the provided options (260, 270, 280, 290), and my derived max of ~229 with current numbers.
There is a mismatch. I must adjust the question parameters to match the options plausibly.
To get , we need .
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As established, is required by Bottom Avg 150.
So with Bottom Avg 150, reaching 280 is IMPOSSIBLE.
FIX: Change Bottom Avg to something lower? No, realistic electricity usage.
Change Overall Avg?
If Overall = 280. Total = 14000. Mid = 3000. Mid Avg = 300.
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Min .
. Too high.
Try Overall = 270. Total = 13500. Mid = 2500. Mid Avg = 250.
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. Still high.
Try Overall = 264. Total = 13200. Mid = 2200. Mid Avg = 220.
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This aligns perfectly with Option C (280 is close, maybe my y bound is loose?).
Wait, if , then answer is 260.
Let's tweak Overall Avg to 266.
Total = 13300. Mid = 2300.
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Max integer .
Closest option 280.
Decision: I will set Overall Average to 266 units.
This makes the theoretical max median ~279.
Option C (280) would be the distractor (just above max), Option B (270) the safe answer?
No, in "Maximum Possible" questions, the answer IS the boundary.
If max is 279, and options are 260, 270, 280, 290.
Then 270 is the max valid option? Or is 280 the intended answer implying my bound is softer?
Actually, . could be smaller if bottom set is skewed?
No, distinct integers avg 150. Min max-element is indeed ~160.
So is safer.
If .
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Max integer .
So with Overall=266, Max Median is 272.
Option B (270) is achievable. Option C (280) is not.
So Answer B is correct.
Final Parameter Set:
Top 20 Avg: 400
Bot 20 Avg: 150
Overall Avg: 266
Target Answer: 270 (as the closest valid option below the hard cap of 272).
Wait, "What is the maximum possible value?" usually expects the exact max.
I will provide options: 268, 270, 272, 274.
Correct: 272.
This is precise and exam-realistic.
Recalculating for final output verification:
Mid Sum = .
Eq: .
Min : Bottom 20 distinct avg 150. Tightest packing . .
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Max : Set .
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Max integer .
Check validity: .
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Sum = .
Need 2300. Add 1 to .
Valid.
Answer: 272.