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Additive Grade Curve Calculator — result sheet
Apply a clearly stated additive class-average shift to a raw score, with an explicit score cap and both capped and uncapped results.
Inputs used
Results
Visual chart
Breakdown
Calculation steps
Returned data table
Formula and methodology
Formula: Curve shift=target class average−observed class average; uncapped score=raw score+shift; capped score=min(score cap,max(0,uncapped score)).
There is no single universal grade-curve method. This page documents one additive mean-shift convention so the visitor can reproduce it: every raw score receives the same shift needed to move the observed class average to the chosen target, then the visible cap is applied.
This result follows the calculator's declared inputs, precision, validation boundaries, and model limits.
Input contract
- Raw score — %; minimum 0; maximum 100
- Observed class average — %; minimum 0; maximum 100
- Target class average — %; minimum 0; maximum 100
- Score cap — %; minimum 1.0E-6; maximum 100
Worked example
| Input | Value |
|---|---|
| Raw score | 72 |
| Observed class average | 68 |
| Target class average | 75 |
| Score cap | 100 |
The additive shift is 7 points; the score changes from 72% to 79% under this convention.
Assumptions and limits
- All score fields are percentages on the same 0–100 scale and describe the same assessment group.
- Every student receives the same additive shift; rank, spread, weighting, and letter-grade thresholds are not recalculated.
- The score cap and lower bound are explicit presentation rules, not a statement about an institution’s grading policy.
- A real course may use z-scores, percentiles, square-root curves, dropped items, or another method; this page does not infer that policy.
Calculator note
Source and methodology
Use the official WorldCalculate methodology policy for the source, formula, precision, and boundary standards behind this calculator.
Planning estimate, not financial, medical, legal, or professional advice. © WorldCalculate — reuse with attribution. Built and curated by Hassan ALRowaie.
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