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192 curriculum topicsUse exact Reading & Writing and Math skills from the shared curriculum.SAT study planning
SAT Study Priority Calculator
Turn topic-level practice errors into a transparent review order—without pretending raw question counts predict scaled-score gains.
Prioritize
Observed errors firstTies use error rate, then the larger attempted-question sample.Audit
Every signal visibleError count, error rate, error share, and evidence size stay together.Choose the next useful review block
Rank where your observed errors are concentrated
Compare two to six exact curriculum topics. The result separates error workload from error rate so one dramatic percentage cannot quietly dominate the recommendation.
Evidence-based review order
Review first
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Three evidence lenses
Why one metric is not enough
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Transparent priority ladder
Every entered topic, in order
Calculation detail
Audit the complete comparison
Scroll horizontally to review every calculation column.
| Rank | Topic | Attempted | Incorrect | Error rate | Error share | Evidence |
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Recommended verification loop
Inspect the first-priority errors
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A deterministic rule
How the priority order is built
The calculator uses only the counts you enter. Every tie-break is visible and reproducible.
Count observed errors
More incorrect answers means more visible questions to inspect.
Break ties by error rate
The higher incorrect ÷ attempted percentage comes first.
Prefer broader evidence
If both signals tie, the larger attempted sample comes first.
Verify with fresh practice
The ordered list starts investigation; it does not end it.
Worked example
Workload and weakness can point in different directions
A student records Solving Systems of Linear Equations with 6 errors in 20 attempts, What Makes an Inference Valid? with 4 in 10, and Choosing Transitions from Logic, Not Memorization with 2 in 8. Solving Systems of Linear Equations ranks first because it contains half of the 12 observed errors. Inferences has the highest error rate at 40%, so it remains an important second signal to verify.
- 1 · Solving Systems of Linear Equations6 errors30% rate · 50% error share
- 2 · What Makes an Inference Valid?4 errors40% rate · 33.3% error share
- 3 · Choosing Transitions from Logic, Not Memorization2 errors25% rate · 16.7% error share
Use the result responsibly
Turn a priority into a focused review loop
The original questions explain the cause; the ranking only tells you where to look first.
Good evidence for a study pivot
- Several errors share the same missing rule or reasoning step.
- The pattern returns across comparable sets or test dates.
- A fresh set improves after targeted Notes and Practice review.
Pause and investigate first
- The entire signal comes from only one to four questions.
- Most errors were timing, transcription, or unfamiliar directions.
- The compared sets used very different difficulty or outside help.
Pair the plan with official evidence
Review explanations, then target the matching skill
College Board’s My Practice provides question-level review after Bluebook practice. Its Student Question Bank can filter official questions by section, domain, skill, and difficulty.
SAT study-priority questions
Understand the ranking rule, evidence limits, and responsible next steps.
What results should I enter?
Use attempted and incorrect counts for exact topics from the same practice source or from intentionally combined comparable sets. Keep timing, difficulty, scoring, and outside-help conditions as similar as practical.
How is the priority order calculated?
Topics are sorted by the number of observed incorrect answers from highest to lowest. A tie is broken by higher error rate, then by larger attempted sample, then alphabetically. There is no hidden weight or AI score.
Why rank error count before error rate?
Error count represents the visible review workload in the evidence you entered. Error rate measures relative weakness. The tool shows both because a small high-error-rate sample and a larger error-heavy sample can suggest different next actions.
Does error share predict SAT score improvement?
No. Error share is simply one topic’s incorrect answers divided by all incorrect answers entered. It does not account for adaptive scoring, question difficulty, domain weighting, or future performance and cannot be converted into SAT points.
What if every entered answer was correct?
The calculator reports that no error-based priority is available. Try a fresh mixed set, include harder questions, or use official domain performance to choose a new area without inventing a weakness from perfect results.
What do the evidence labels mean?
They are tool-only context labels: fewer than 5 attempts is limited, 5–9 is developing, and 10 or more is broader. They are not College Board proficiency bands or statistical confidence intervals.
Can I compare Math and Reading & Writing topics?
Yes, if the practice evidence is reasonably comparable. The result ranks observed errors rather than claiming the topics carry equal scaled-score value. Always inspect the original questions before choosing a long-term study plan.
What should I do after finding a priority?
Classify the mistakes, review the matching Notes, retry without looking at the explanation, and complete a fresh Practice set. Recalculate with the new set instead of repeatedly relying on old errors.
Continue the analysis
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Switch from review workload to accuracy, domain, or error-pattern analysis.