We've compiled grade distrubution data from every external assessment for every VCE and VCE VET subject into handy graphics. See the FAQ for more information.

#### VCAA disclaimer

The VCAA does not support or endorse the development and use of study score calculators as they can lead to erroneous conclusions and frustration for individual students. The assessment results for one year should not be used in any way to predict results for students in subsequent years. Each yearâ€™s assessments results, both for school based and external (Examinations), will vary due to different assessments being used and different populations of students participating in the assessment.Search:

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### FAQ

**How do I use these graphics?**

The best way to use these graphics is to sit a past or practice external assessment for a subject you're taking, mark it (or have it marked for you by a teacher) and then check your score (as a percentage) on the graphic for the assessment. Make sure you use the right graphic - do not check your Further Mathematics Written Examination 1 score against the graphic for Written Examination 2, for example.

**Are SAC marks considered?**

SAC marks are not considered in these graphics in any way, and generally are not a good way to estimate your study score.

**How does scaling work?**

VTAC provides a good explanation.

**How are the curves in the graphics calculated?**

VCAA provides grade distribution data each year for every assessment for every VCE and VCE VET subject. For each grade from UG (ungraded) to A+, the data includes the score ranges that define these grades and the percentages of students that achieved them. For example, in the Accounting Written Examination in 2018, a D+ was defined as a score from 39-55 (inclusive) out of 200, and 10.3% of students sitting the examination achieved this grade. Adding up the percentages of students that achieved UG, E, E+ and D gives 17.5%, the percentage of students outscored by a student who scored the worst possible D+ (39/200). Doing this for each grade gives a set of points which are then inputted into a cubic spline interpolator, giving a function which, given an exam score *s*, estimates the percentage of students outscored by a student who scores *s* on the exam. Since raw study scores are normally distrubuted with a mean of 30 and a standard deviation of 7, the percentage of students a student outscores is easily translated to a raw study score using the inverse cumulative distribution function. Scaling models are produced in a very similar way using the VTAC scaling report.

**I preferred the old graphics. Are they still available?**

Yes. Click here.

*These graphics were created in Python using Matplotlib and tools from the SciPy library using official VCAA data.*

*TWM Publications has no association VCAA or VTAC.*

*Did we get something wrong? Let us know at support@twmpublications.com.*