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Miller Analogies Test Bell Curve, Part 2

After searching through Pearson’s official MAT research page, it does not appear they have created a Miller Analogies Test Bell Curve. So I will do my best to fill in the blanks for those interested in this sort of statistical comparison. Let’s look at the MAT Bell Curve:

Bell Curve 1

You may have seen the previous post on the Miller Analogies Test Bell Curve; if not, here is a quick refresher:

  • When represented on a graph, data with a normal distribution will appear “bell” shaped.
  • The median score–the 50th percentile–is represented by the center line.
  • Each line to the left or right of center represents a “standard deviation” (“σ” this is a sigma sign which represents SD.)
  • For each SD away from the center, we account for a larger share of test takers.
  • 68 percent of all test takers will score within -1σ and 1σ. 95 percent will score within -2σ and 2σ. Lastly, 99.7 percent will score within -3σ and 3σ; scoring more than 4 SD’s above or below the median is extremely rare.

Miller Analogies Test Bell Curve

Let’s look at how this information applies to the MAT:

Bell Curve 1

The median score–the center line–on the MAT is a scaled score of 400. The standard deviation on the MAT is 25 points. Each SD line on the above graph represents a 25 point jump in score:

  • 34 percent of MAT test takers will score from 400-425.
  • 13.6 percent will score from 426-450.
  • 2 percent will score from 451-475.
  • 0.1 percent will score from 476-500.

Those of you familiar with the exam might know that it is scored on a scale from 200-600. Yet, only 0.1 percent (the 99.9th percentile) can score a 500. To date, the highest score I have personally seen on an official MAT research report is 563, and this was listed as the max score they had recorded. This means the chances of achieving a perfect score on the MAT are astronomically low. Not that any student should be aiming for that; you should instead aim for a good score on the MAT.

A good MAT score is definitely achievable for most students and we have plenty of advice to help you get there on the Magoosh MAT Blog. I hope you enjoyed seeing how the exam breaks down.

About Bertrand

Bertrand is a remote tutor and a MAT blogger for Magoosh. He received a B.A. from Fairleigh Dickinson University and studied education theory at Rutgers Graduate School of Education. He has been studying and working in education since 2010. Born and raised in New Jersey, he now resides in Philadelphia. When he isn’t helping students study or writing blogs for Magoosh, he spends his time practicing mixed martial arts and reading as much as his schedule permits.

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