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Statement 1 The median being greater in Cedar Court does not tell us about the mean. A distribution can have a higher median but a lower mean depending on how the values are spread. For example, Cedar Court could have a few very low outliers that drag the mean below Maple Court's mean even though the median is higher. So the median alone cannot determine which average is greater. —— insufficient.
Statement 2: Knowing that the range is the same in both courts tells us nothing about where the values are concentrated or what the average is. Two sets can have identical ranges but very different means —— insufficient.


Combining both statements: Even together, knowing that Cedar Court has a higher median and the same range still does not pin down the mean. The mean depends on the entire distribution of values, not just the median and range. We can construct examples where Cedar Court's mean is higher and examples where it is lower, both consistent with the given conditions. So the two statements together are still —— insufficient.

E
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(1) Even though the median monthly electricity cost of Cedar is more than Maple's, the average of the cost can change based on whether the data sets are right-skewed or left-skewed. Insufficient

(2) The same goes for range. Even if the range is the same, Cedar Court can have a greater or lesser average, depending on the dataset. Insufficient

(1)+(2)

Case 1:

Cedar: {2, 2, 3, 5, 5} Average = 3.4
Maple:{2, 2, 2, 2, 5} Average = 2.6
Avg C> Avg M

Case 2:

Cedar: {2, 2, 3, 3, 5} Average = 3.0
Maple: {2, 2, 2, 5, 5} Average = 3.2
Avg C< Avg M

Insufficient

Ans E



Bunuel
Cedar Court and Maple Court have the same number of apartments. Was the average (arithmetic mean) monthly electricity usage per apartment in Cedar Court greater than the average (arithmetic mean) monthly electricity usage per apartment in Maple Court?

(1) The median monthly electricity usage per apartment in Cedar Court was greater than the median monthly electricity usage per apartment in Maple Court.
(2) The range of the monthly electricity usage per apartment in Cedar Court was the same as the range of the monthly electricity usage per apartment in Maple Court.

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Let:

Both Cedar and Maple have n apartments (same number given)
We are asked: Is mean(Cedar) > mean(Maple)?
Statement (1): Median(Cedar) > Median(Maple)

Median only tells us about the middle value, not the overall distribution.

You can easily construct cases:
Cedar has higher median but some very low values → lower mean
Or Cedar has higher median and higher mean

❌ Insufficient

Statement (2): Range(Cedar) = Range(Maple)
Range = max − min

This tells us spread, not where the values lie.

Same range, but Cedar values could be mostly lower
Or mostly higher

❌ Insufficient

Combine (1) and (2)

Now we know:

Cedar has a higher median
Both have same spread (range)
Same number of apartments

Still not enough.Why?
Because you can shift distributions while keeping:

Same range
Higher median

...but still manipulate extremes to change the mean.

Answer : E
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When i read the question, i calculated using the number of apartments as the parameter. My mistake was assuming that the mean equals the median for consecutive numbers. However, the question required us to consider consumption as the parameter. I chose option A. Its about the parameter consideration more than actual calculation.
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