One very large offer can lift a college's advertised average for everyone. The median cannot be moved that way, which is exactly why it is rarely advertised.
The average package is the total of all salaries divided by the number of students, so a handful of exceptional offers raises it for everyone in the reported figure. The median is the middle value — half the batch earned more, half earned less — and no single outlier can shift it. The median is much closer to what you would actually receive, which is precisely why it appears in far fewer brochures.
Consider a batch of one hundred students. Ninety-nine receive offers clustered around a similar figure, and one receives an offer many times larger — an international role, a family business, an unusual outlier of some kind.
That one offer, divided across a hundred people, lifts the reported average measurably. The median does not move at all, because the middle of the sorted list is unchanged. Both numbers are arithmetically correct. Only one of them describes what happened to the typical student.
| Highest package | One person got this. Not a forecast. |
| Average package | Sensitive to outliers. Usually flattering. |
| Median package | The middle graduate. The number you want. |
| 25th percentile | What the bottom quarter faced. Rarely published. |
| Placement percentage | Meaningless until the denominator is defined. |
"100% placement" is a claim that depends entirely on who is being counted. Placed out of how many? The whole batch, or only students who registered for the placement process? Are students who opted out excluded? Are those who deferred, or went for higher study, or started something of their own removed from the count?
Every one of those exclusions is defensible in isolation, and stacked together they can turn a partial outcome into a perfect-looking statistic. The number is not necessarily dishonest. It is just uninformative until you know what it is a percentage of.
A reported CTC figure may bundle joining bonuses, performance-linked variable pay, relocation allowances, retention bonuses and the notional value of stock. Some of that is guaranteed money. Some of it is conditional, and some of it is a one-time payment counted as though it were annual.
The number worth knowing is fixed annual cash. Ask for it separately.
Ranking tables often use reported placement figures as an input. If those inputs are averages skewed by outliers, the ranking inherits the distortion and then lends it authority. A college can rise on numbers that describe almost nobody in the batch.
Your own decision does not have to inherit that. Ask for the median, define the denominator, separate fixed pay from variable, and look at your target function rather than the batch. Four questions, and the picture changes considerably.
Placement cells report what they are permitted to report. Recent graduates have no such constraint — and someone who went through the process one or two years ago can tell you what the range actually looked like for people in your position.
The wider method is in how to verify placement claims, and the gap between marketing and reality is covered in brochure vs reality. Once you have honest numbers, the ROI calculation becomes worth doing.
The placement report decoder shows the average-versus-median gap on a college's own numbers.
The average is the total of all salaries divided by the number of students, so a few very high offers pull it upward. The median is the middle value - half the batch earned more, half earned less - and a handful of outliers cannot move it. The median is closer to what a typical graduate actually receives.
Because the average is almost always the higher and more flattering number, particularly where a small number of exceptional offers exist. Reporting the median is not required, so most institutions report the figure that looks better.
It means one person received that offer. It is a single data point and tells you nothing about your likely outcome. It is also the number most prominently displayed in most marketing material, which should tell you something.
The median package, the percentage of the batch placed with the denominator defined, the salary breakdown by function, and how many offers came from repeat recruiters versus one-time visitors. Those four answers describe the reality that an average conceals.
The salary figure that sits exactly in the middle of a batch when every offer is lined up from lowest to highest - half the batch earned more, half earned less. It is the single most useful number in a placement report, because unlike the average it cannot be lifted by a handful of exceptional offers at the top.
The total of all salaries divided by the number of people counted. It is the number colleges usually publish, because a small number of very high offers pulls it upward and makes the typical outcome look better than it was. An average on its own, with no median beside it, tells you very little.
It means the midpoint outcome for the batch as the college has defined that batch. Two things still need checking even when a median is given: how many students the figure covers, and whether it counts fixed cash or total CTC including joining bonuses and stock. A median over a selectively defined denominator can still mislead.
Not sure how to approach an alumnus? How to contact MBA alumni for honest guidance — what to ask, and why a verified Real One answers differently.
Verified alumni, no commission from any college. The number they give you has nothing riding on it.
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