Equal-weight assumption
If quizzes have different points or category weights, use a weighted model instead of this equal-unit scenario.
Education
Compare projected quiz score paths and see which scenarios clear a documented average target.
QUIZ SCENARIOS
Enter several plausible future quiz scores and compare their resulting aggregate. The table keeps scenario assumptions beside the outcome so a best case cannot masquerade as a promise.
Designed for learners and advisors testing one equal-weight future quiz against several explicitly labelled score paths.
DECISION MAP
Prefer the action that works across more than one plausible scenario; do not plan from the optimistic row alone.

| Scenario | Projected score | Current points | Future points | Projected average | Target result |
|---|
HOW TO USE
SUBJECT FUNDAMENTALS
CALCULATION METHOD
Each entered score is treated as one equally weighted future quiz. The calculator compares the paths but does not assign probabilities or claim that any scenario will occur.
| Symbol | Meaning | Unit | Default | Valid domain |
|---|---|---|---|---|
| A_c | Current quiz average (%): Average across already graded quizzes | % | 82 | 0% to 100% inclusive |
| n | Completed quiz count: Count used as the current average base | quizzes | 6 | Whole number >= 1 |
| S_i | Future score scenarios (%): One projected score per scenario | % per scenario | 70, 80, 90, 100 | 2 to 20 comma-separated scores, each from 0% to 100% |
| T | Target average (%): Comparison threshold | % | 85 | 0% to 100% inclusive |
Default substitution:The defaults treat 82% across six completed quizzes and one future score at a time, comparing 70/80/90/100% paths against an 85% target.
Waiting for valid inputs.
DEEPER ANALYSIS
If quizzes have different points or category weights, use a weighted model instead of this equal-unit scenario.
The gap between best and worst scenarios shows forecast sensitivity more honestly than a single point estimate.
Use scenario count to choose preparation actions, not to promise a final course grade.
RESULT INTERPRETATION
Prefer the action that works across more than one plausible scenario; do not plan from the optimistic row alone.
Scenario spread measures sensitivity to one future result; it is not a probability distribution or a promise of the next quiz score.
WORKED DECISION CASES
A learner compares 70, 80, 90, and 100 on the next quiz to decide whether a target is robust or only reachable in a perfect case.
An instructor shows how much the aggregate changes when the future score is moved by ten points, making the grading policy legible.
EVIDENCE AND DATA LINEAGE
Retain the current gradebook average, completed-quiz count, score scale, scenario labels, target policy, and date of the what-if analysis.
LIMITS AND EXCLUSIONS
RELIABLE SOURCES
FREQUENTLY ASKED QUESTIONS
No. They are explicit what-if inputs and should be labelled optimistic, expected, or conservative outside the arithmetic.
The same future score moves a six-quiz average less than a two-quiz average.
Use a weighted-score calculator or enter a points-based model; equal quiz units would misstate the denominator.
Only if the governing policy explicitly permits bonus scores; otherwise keep the range within the scale maximum.
The current base is large enough that one quiz has limited leverage, not that the forecast is certain.
Name each scenario and retain the gradebook policy that defines the current average.
IMPORTANT NOTE
This what-if model assumes one equal-weight future quiz and does not replace a weighted gradebook or official forecast.