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:

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:

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.