Quadratic Equation Solver (ax² + bx + c = 0)
About Grade Percentage Calculator
The Academic Test & Course Grade Percentage Calculator converts earned test scores ($Earned / Total \times 100$), missed question point deductions, raw numerical percentages into standard US/UK/International letter grades (A+, A, B, C, D, F), and calculates curved test scores.
How to Use Grade Percentage Calculator
Step 1
Enter Total Test Points (or Total Questions) and Points Earned (or Missed Questions).
Step 2
Optionally apply test curve settings.
Step 3
Review computed percentage score, letter grade, and 4.0 GPA equivalent.
Step 4
Click "Copy Grade Result".
Practical Use Cases for Grade Percentage Calculator
Teacher Test Grading & Quick Score Scale Generation
Generate instant grading rubrics and percentage tables for exams with arbitrary total point values (e.g. 37 or 65 points).
Student Exam Score Verification & Grade Checking
Determine exact exam percentage and letter grade when missing $N$ questions on standard multiple choice tests.
Input & Output Examples
Calculating Score on 85-Question Test with 7 Wrong
Total Questions: `85`, Missed: `7` (Earned: `78`)
Grade Percentage: `91.76%` | Letter Grade: `A-` | Grade Points: `3.7 / 4.0` | Missed Deduction: `-8.24%`
Key Features & Performance
- ✓Two Input Modes: Total Earned Points / Max Points, or Total Questions / Number of Missed Questions.
- ✓Standard Grade Scales: US Standard (A-F), Plus/Minus (A+, A, A-, B+), Pass/Fail, and Custom Percentage Thresholds.
- ✓Test Curve Simulator: applies square root curve ($\sqrt{\text{score}} \times 10$) or linear flat bonus points.
- ✓100% Client-Side memory execution.
- ✓1-Click Copy grade percentage specs.
Key Terminology & Definitions
Grade Percentage
The proportion of total possible points earned on an academic assessment expressed as a fraction of 100 ($\text{Score} / \text{Total} \times 100\%$).
Square Root Curve
A classic academic grading curve where a student's curved score is calculated as $\text{Curved} = 10 \times \sqrt{\text{Raw Score}}$, benefiting lower scores proportionally more.