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How do you calculate a test average?

Short answer

Add the test scores and divide by the number of tests. Scores of 78, 85, 91, and 88 average to (78 + 85 + 91 + 88) ÷ 4 = 85.5%. If one test counts double, count it twice: (78 + 85 + 91 + 91 + 88) ÷ 5 = 86.6%.

Worked example: four tests, one double-weighted

ScenarioCalculationAverage
All equal342 ÷ 485.5%
Test 3 counts double433 ÷ 586.6%
Lowest dropped264 ÷ 388.0%

How to read this table

Context

Drop policies change the math significantly: dropping the lowest score raised the average 2.5 points in the example, which is why 'drop one test' syllabi are so valuable. If your tests have different point values rather than explicit weights, use the points method instead — total earned ÷ total possible — which weights each test by its length automatically.

What moves this number

Syllabus weighting scheme

The same scores produce different grades under category weights, points-based grading, and drop-lowest policies. The syllabus — not the raw scores — determines which formula applies.

Plus/minus and cutoff policy

Schools set their own letter-grade cutoffs (90 vs 93 for an A) and whether plus/minus exists. A 2-point cutoff difference moves a borderline grade by a full letter.

Credit-hour weighting

GPA is credit-weighted, so a 4-credit course moves the average twice as much as a 2-credit course with the same grade.

Methodology

Arithmetic mean for equal weights; weighted mean (score × weight) ÷ Σ weights otherwise. Drop-lowest policies remove the minimum before averaging, per the syllabus.

Assumptions and caveats

Frequently asked questions

How do you calculate a test average?

Add the test scores and divide by the number of tests. Scores of 78, 85, 91, and 88 average to (78 + 85 + 91 + 88) ÷ 4 = 85.5%. If one test counts double, count it twice: (78 + 85 + 91 + 91 + 88) ÷ 5 = 86.6%.

Which option pays the most in the worked example: four tests, one double-weighted table?

Test 3 counts double, at 433 ÷ 5 (86.6%). That row represents the strongest case in this dataset, so use it as an upper bound rather than an expectation.

What is a realistic low-end figure?

Lowest dropped at 264 ÷ 3 (88.0%). Plan your costs so the low end still works, then treat anything above it as upside.

Where do these numbers come from?

Arithmetic mean for equal weights; weighted mean (score × weight) ÷ Σ weights otherwise. Drop-lowest policies remove the minimum before averaging, per the syllabus.

How can I estimate my own number instead of using a benchmark?

Use the Quiz Average Grade Calculator on RevenueLab — it takes your own inputs and returns a figure specific to your setup, which is always more accurate than a published range.

Model your own numbers

Related reading

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Last updated 2026-10-01.