MAP Growth common mistakes
MAP Growth · Understand the traps and how to avoid them.
Choosing an answer because the numbers in it appear in the problem, without computing what the question actually asks for.
Under time pressure the eye latches onto familiar numbers or keywords, so a distractor built from the given values feels 'safe' and gets selected before the operation is set up.
What to do instead
Before looking at the options, write the quantity being asked for and the one operation that produces it; then compute a rough answer and only then scan the choices, rejecting any option that no calculation supports.
Solving multi-step word problems by performing only the first operation and stopping at the intermediate result.
The first step usually produces a number that appears among the answer choices, which creates a false sense of completion and ends the reasoning early.
What to do instead
Restate the problem as a chain ('find X, then use X to find Y') and tick off each step; check that the final value answers the question sentence, not an intermediate quantity.
Treating a scaled graph, table, or diagram as if it were drawn to scale or labelled with every value.
Candidates read values straight off an axis without checking the scale increment, or assume a figure's proportions are exact when the item only guarantees the stated labels.
What to do instead
Read the axis title and two consecutive tick labels to derive the increment before extracting any value, and mark which facts are given versus which are merely drawn.
Answering a reading item from personal opinion or background knowledge instead of from what the passage states or implies.
Familiar topics trigger prior beliefs, and plausible-sounding options feel correct even when the text never supports them.
What to do instead
For each option, locate the sentence or paragraph that justifies it; if no line in the passage supports it, eliminate it regardless of whether it is true in real life.
Confusing the main idea of a passage with a supporting detail or an over-broad generalisation.
Details are concrete and easy to remember, and sweeping statements sound authoritative, so both compete with the genuinely central claim.
What to do instead
Ask what the whole passage is mostly about and whether the other paragraphs support that statement; a correct main idea must cover the entire text, not one paragraph.
Matching an inference question to a directly stated fact rather than a conclusion the text supports but does not state.
The safest-feeling option is the one quoted from the passage, so candidates pick restatement when the item requires a logical step beyond the text.
What to do instead
Classify the item first: if it says 'suggests', 'implies', or 'most likely', eliminate any option that is explicitly written in the passage and keep the one requiring a supported leap.
Judging a sentence's grammar by how it sounds rather than by identifying its subject, verb, and modifiers.
Everyday speech tolerates errors such as subject-verb disagreement in long sentences, so the ear approves constructions that fail formal rules.
What to do instead
Strip the sentence to its core subject and verb, ignoring interrupting phrases, and check agreement, tense consistency, and pronoun reference against that core.
Selecting a revision that fixes the flagged error but introduces a new one elsewhere in the sentence.
Attention narrows onto the underlined portion, so candidates stop checking once the original problem appears resolved.
What to do instead
After choosing a revision, reread the entire sentence with the replacement inserted and confirm that agreement, punctuation, and meaning all still hold.
Confusing mass with weight, or treating a change in state as creating or destroying matter.
Everyday language uses 'weight' for mass, and melting or dissolving looks like disappearance, so intuitive answers override conservation principles.
What to do instead
Anchor on conservation: total mass is unchanged in a closed system regardless of state, and weight changes with gravity while mass does not; apply that check to each option.
Reading a data table or experimental setup as proving a causal relationship when only a correlation or a single trial is shown.
Graphs with a clear trend invite causal language, and a described experiment feels conclusive even without a control or repeated trials.
What to do instead
Identify the independent and dependent variables and ask whether a control group and repetition exist; if not, choose the option describing association or a need for further testing rather than cause.