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STEM EVIDENCE WORKBENCH

Unit Rate Comparison Misconception Diagnostic

Normalize two options to one common unit, compare learner choices, and expose larger-package, smaller-total, and rounding-sensitive errors.

Runs in this browser tabEditable downloadUp to 500 structured rows and 30,000 characters per field. Use anonymous or fictional labels.

Learning inputs

Build the unit rate comparison misconception diagnostic

Enter an anonymous diagnostic label and a clear basis such as cost per item. Add scenario | quantity A | total A | quantity B | total B | A, B, or equal. Quantities must be positive and totals nonnegative. Both options must use the same quantity unit, total unit, quality basis, and comparison direction.

Generation uses only the information entered in this tab. It does not fetch sources or make student decisions.

Review output

Your learning artifact appears here

Load the worked example to inspect realistic inputs, or enter anonymous classroom or laboratory evidence. Results remain in this browser tab until you copy or download them.

Transparent method

How the unit rate comparison misconception diagnostic works

Option A unit rate is total A divided by quantity A and option B is total B divided by quantity B. Full-precision rates are compared before display rounding. Rates within the calculation tolerance are labeled equal; otherwise the smaller rate is selected under the declared lower-is-preferred rule. A supported choice means the entered A, B, or equal claim agrees with the normalized evidence. A smaller-total flag suggests the choice may have ignored package size. Ask the learner to label the numerator and denominator, write the meaning of one unit, and explain whether the context actually values a lower or higher rate.

  1. 01
    Before generation

    Confirm the prompt, source values, units, signs, notation, precision, and model required by the current course. Keep an untouched copy of observations or responses before changing a row.

  2. 02
    During review

    Run the worked example first, inspect every intermediate row, and compare the table with a hand calculation, diagram, graph, periodic table, or approved laboratory method.

  3. 03
    Before use

    Record the method, assumptions, units, rounding, limits, and any row that needs review. Use the exported report as editable evidence and verify it independently before assessment or laboratory use.

How to interpret the result

Unit Rate Comparison Misconception Diagnostic

Before generation

Use for price, speed, productivity, dosage-free classroom examples, or other rate comparisons when learners may choose from totals rather than normalized rates. The worked engine assumes the lower total-per-unit value is preferred. It does not adjust for quality, waste, fixed fees, discounts, taxes, delivery, time value, or a context where higher is better.

Worked example

The notebook example compares 15 divided by 6 with 23 divided by 10 and supports option B. A fruit-box claim favors the smaller total even though its per-item rate is higher, so the row is flagged. The travel example supports the lower normalized rate, while two different package sizes with equal unit rates are recognized as equal.

Formula or methodology

Option A unit rate is total A divided by quantity A and option B is total B divided by quantity B. Full-precision rates are compared before display rounding. Rates within the calculation tolerance are labeled equal; otherwise the smaller rate is selected under the declared lower-is-preferred rule.

How to interpret the result

A supported choice means the entered A, B, or equal claim agrees with the normalized evidence. A smaller-total flag suggests the choice may have ignored package size. Ask the learner to label the numerator and denominator, write the meaning of one unit, and explain whether the context actually values a lower or higher rate.

Common mistakes

Do not compare package totals alone, divide one option in the opposite direction, mix quantity units, round close rates before comparing, or assume a lower price means better value when quality differs. Keep the rate basis visible and disclose excluded fees or features.

OpenStax Prealgebra: unit rates

Learning boundary

A calculated pattern still needs subject review

This browser-local workbench applies only the disclosed rules to entered values. It cannot diagnose learning, certify an experiment, establish a chemical fact, reconstruct missing evidence, or replace the method and judgment required by a teacher, curriculum, laboratory, or institution.

Review checklist

Human review before educational use

  • Every value, symbol, sign, unit, and response comes from the intended prompt or evidence source.
  • The implemented arithmetic or scientific rule matches the current course method.
  • Intermediate rows and flagged alternatives have been inspected rather than using only the headline.
  • A teacher or learner verifies the report with an independent method and the original context.

Practical questions

Unit Rate Comparison Misconception Diagnostic questions

Does Nirmion upload these responses or observations?

No. Processing occurs in the current browser tab. Avoid names and other personal information, and retain authoritative records only in the system approved by the school.

Can the result identify a learner misconception or certify a model by itself?

No. A matched pattern describes the entered evidence under one disclosed rule. Ask for an explanation and review several evidence sources before deciding the next step.

Can I submit the downloaded report as finished work?

Treat it as an editable calculation aid. Show your own reasoning, use the method requested by the course, cite required sources, and follow the applicable academic-integrity rules.