The five measures, and what each one ignores
| Measure | Definition | Blind spot |
|---|---|---|
| Mean | sum ÷ count | distorted by outliers |
| Median | middle of the sorted list (average of the middle two if count is even) | ignores how far values sit |
| Mode | most frequent value (can be several) | ignores everything else |
| Range | max − min | uses only two values |
| Standard deviation | typical distance from the mean | hardest to compute — GMAT asks for comparisons, not decimals |
Repeated values count every time they appear: the mean of is , with both 4s in the sum.
Work with the sum, not the mean
— the most useful identity in the topic. Four people average 80 miles → total 320; three drove → the fourth drove . Every "find the missing value" question is this one move.
- Weighted average: with group sizes and means , the overall mean is — it lands between the group means, closer to the larger group. It never equals the simple midpoint unless the groups match in size.
Median: position, not value
Sort first — always. For the five daily ticket counts , the sorted list has median 6. With an even count, average the two middle entries. The median can equal, exceed, or trail the mean; skewed data drags the mean toward the tail while the median barely moves. "About half the values are below the median" is usually true but fails with heavy ties — a list can have most values equal to its median.
Evenly spaced lists
For consecutive integers — or any arithmetic sequence — mean median the midpoint of first and last. Sliding a whole list up by slides its mean by exactly ; the spread (range, SD) doesn't move. Ten consecutive odd integers starting 7 above another list's start have a mean exactly... well, that's a one-line deduction once you trust the midpoint rule.
Standard deviation, conceptually
- Find the mean. 2. Square each deviation from it. 3. Average the squares. 4. Square-root.
What the GMAT actually tests:
- Tighter clustering = smaller SD — compare vs (same mean 7; the first is far tighter).
- Adding a constant to every value: SD unchanged. Multiplying every value by : SD scales by .
- Adding values at the mean shrinks SD; adding values far from the mean grows it.
- SD exactly when all values are equal.
Range and SD are different animals. Two sets can share a range while one has nearly all its weight at the endpoints (big SD) and the other clusters at the centre (small SD). Never infer SD from range — or from the mean.
Frequency tables are compressed lists. A value with frequency 7 appears 7 times in mean and median bookkeeping. For the median, find which value spans the middle position ( for odd ) by accumulating frequencies.
Checklist
- Mean questions → convert to sums immediately
- Sort before taking any median
- Weighted mean leans toward the bigger group
- Evenly spaced → mean = median = midpoint
- SD: shift-invariant, scale-by-, clustering beats range
Sample Questions
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