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Locate the inferential gap and compare how additional information changes support for the exact conclusion.
Paper packet. Every task here also exists on screen, where it is checked automatically; answers written on paper are not assessed by Nydus. When you are back at a device, enter your answers there.
Identify the addition that most improves an argument's support without demanding a deductive guarantee.
Find the conclusion and premises before evaluating new evidence. In the sufficient-assumption lesson you demanded a complete proof. Here a relevant improvement can succeed even when uncertainty remains. Do not reject useful evidence simply because it does not guarantee the result.
| Term | What it means |
|---|---|
| Causal rival | Another explanation capable of producing the observed outcome. |
| Comparison group | A group used to judge what happens without the proposed cause or intervention. |
| Representative sample | A sample whose selection does not distort the feature generalized to the target population. |
| Mechanism | The sequence through which an action is expected to produce an outcome. |
To strengthen an argument, add information that makes its conclusion better supported by the evidence. The question concerns an inference, not whether you approve of the conclusion. A policy can sound attractive while the offered reason for it remains weak. Conversely, a claim you dislike can receive stronger support from a well-designed comparison. Keep your personal preference outside the test.
Separate the starting observation from the proposed explanation. If attendance rose after a timetable change, the author may attribute the increase to the new timetable. Evidence that another change caused the increase challenges that attribution. Evidence that comparable groups differed only in timetable and then differed in attendance supports it. Neither the word after nor a precise number by itself settles the causal connection.
Accept each answer choice as true for the task and ask what changes. Does it connect a premise to the conclusion, remove a plausible alternative explanation, support a necessary implementation condition, or show that the sample represents the target population? Compare the candidates, then choose the one that does the most relevant work. You do not have to show that the conclusion is certain or that the other options are false.
Another way: picture
Imagine two columns: what the argument establishes and what it claims. Put each new fact beside the connection it changes. A fact about the topic but outside that connection adds scenery, not support.
Another way: steps
State the conclusion; identify the missing connection; accept one new fact; explain how that fact supports the connection; compare its effect with the other options.
Suppose a reading club reports that members read more books after joining. One strengthening candidate says members have shelves at home; another says randomly invited people who accepted the invitation increased their reading more than comparable people not invited. The shelf fact may be associated with reading in general, but it does little to distinguish whether joining changed behavior. The comparison directly addresses a change linked to the intervention. Still inspect whether the groups were comparable and whether acceptance itself introduces selection. A description that says randomized does not excuse reading the rest carelessly.
A useful way to organize the comparison is to ask what you would expect under two explanations. Under a club-effect explanation, participation should help explain a change. Under a preexisting-reader explanation, members could already read more before joining. A finding about equal baselines would bear on the second explanation; a finding about book-cover color would not. You are judging discriminatory relevance rather than collecting favorable-sounding facts.
The same discipline applies outside causal claims. If an author argues that a particular plan is practical, evidence that its crucial resource is actually available helps more than evidence that an unrelated resource is abundant. If an author generalizes from volunteers to all employees, evidence that the measured feature is similar in volunteers and nonvolunteers bears on the sampling gap. In each case, name the competing possibility and explain why the addition makes it less damaging.
Finally, compare degree without inventing a numerical probability. Most questions do not provide enough information for a calculation. You can still explain that one fact directly tests the proposed link while another merely describes the setting. That explanation is more reliable than calling an option stronger because it contains an emphatic word. A carefully limited claim can be the most relevant addition available.
A before-and-after pattern can have several explanations. Participants may have selected themselves, conditions may have changed at the same time, or measurement may have changed. Strong supporting evidence makes at least one serious rival less plausible. Random allocation can help balance prior differences; a contemporaneous comparison can help separate a treatment from a change affecting everyone. Neither device is magic: read what was actually held constant and what outcome was measured.
A mechanism can also help. If a reminder is supposed to prevent forgetting, evidence that it reaches the intended borrowers before the deadline supports that route. An unread message sent after the deadline does not. Follow the causal order rather than rewarding any technical-sounding detail.
For a generalization, identify both the observed group and the group named in the conclusion. A large sample of enthusiasts may tell you little about all residents. A smaller but appropriately selected comparison can be more relevant. Look for evidence that the potential selection difference does not change the measured preference. More respondents from the same restricted group do not automatically repair the mismatch.
For a plan, trace action to behavior to outcome. Installing bins must change disposal behavior before it can reduce litter. A pilot with the intended users supports that link more directly than a description of the bins' color. Also inspect feasibility: a plan depending on extra demand gains little from demand evidence when capacity is already full.
Absolute words are not automatically wrong and qualified words are not automatically right. A narrow fact can strongly support the exact inference. A sweeping claim can be irrelevant. Repeating the conclusion is not independent evidence for it, and citing the author's confidence supplies no reason to trust the missing link. State a because sentence: this helps because it addresses this specific uncertainty.
Do not reinterpret most strengthens as proves. A controlled comparison can strengthen a causal explanation while leaving measurement questions. The task asks for a relative improvement among the supplied choices. Reject a rival by describing why it leaves the important uncertainty untouched, concerns another population, or moves the evidence in the opposite direction.
Imagine a service manager deciding whether an appointment reminder trial is informative. Identify the proposed mechanism, the comparison group and the outcome actually counted. A decline in all missed appointments and a decline specifically in forgotten appointments are related but different findings. Ask whether the evidence reaches the claim the manager makes.
In these exercises, the supplied facts are accepted for analysis. No outside knowledge about a real institution is needed. The records ask for bounded judgments on five alternatives and a task code; they do not establish that you could design a study or predict a test score. When reviewing an error, distinguish choosing the wrong direction from choosing an irrelevant improvement. Return to the exact uncertainty that the new evidence needed to address, then compare the two strongest alternatives again.
Do not demand a sufficient assumption, reward an irrelevant fact because it is true, or confuse a desirable policy with evidence that its mechanism will work.
Read the passage and question.
A gallery's attendance rose after it began opening on Sunday. The manager attributes the increase to Sunday opening.
Which finding most strengthens that explanation?
The conclusion names Sunday access as the cause, so evidence must support that causal connection.
Compare the five proposed answers.
1: Most additional visits occurred on Sunday, and comparable galleries with unchanged hours showed no increase. 2: A new tourist attraction opened beside the gallery. 3: The manager prefers Sunday work. 4: The gallery's walls are white. 5: The gallery sells postcards.
Apply the question's test to each option; do not choose solely by shared vocabulary.
Explain the best answer.
Most additional visits occurred on Sunday, and comparable galleries with unchanged hours showed no increase.
The timing and comparison both support the proposed access mechanism while reducing a general tourism explanation.
Account for every rejected answer.
2: A simultaneous attraction supplies a rival explanation for increased visits. 3: A personal preference does not link new hours to visitor behavior. 4: Wall color does not bear on the changed attendance pattern. 5: The existence of a shop does not identify the cause of an attendance change.
Each rejection identifies a specific mismatch with the passage or task.
Read the passage and question.
A researcher interviewed daytime visitors to a public garden and concluded that most visitors support an entry charge.
Which finding best supports the generalization?
Keep the target population as all visitors, not only the people convenient to interview.
Compare the five proposed answers.
1: A representative sample of visitors at all opening hours also showed majority support. 2: Daytime interviews lasted longer. 3: Evening visitors overwhelmingly oppose charging. 4: The proposed charge would buy more plants. 5: Interviewers like the garden.
Apply the question's test to each option; do not choose solely by shared vocabulary.
Explain the best answer.
A representative sample of visitors at all opening hours also showed majority support.
The second sample addresses the omitted visitor groups instead of merely repeating daytime responses.
Account for every rejected answer.
2: Interview length does not establish coverage of other visitors. 3: That finding challenges the population inference. 4: A possible benefit does not show what visitors support. 5: Interviewer preference does not make the sample representative.
Each rejection identifies a specific mismatch with the passage or task.
Read the passage and question.
A campus plans to reduce missed appointments by sending a text the previous day. It predicts that students who forget appointments will attend more often.
Which finding most supports the predicted mechanism?
Support can target one cause of missed appointments without eliminating every cause.
Compare the five proposed answers.
1: A trial with randomly assigned students found fewer forgotten appointments among those receiving timely texts. 2: Most texts arrive after the appointment. 3: The campus has many buildings. 4: Some missed appointments result from illness. 5: The text system has a memorable name.
Apply the question's test to each option; do not choose solely by shared vocabulary.
Explain the best answer.
A trial with randomly assigned students found fewer forgotten appointments among those receiving timely texts.
The evidence directly tests whether the proposed reminder reaches the memory-related obstacle.
Account for every rejected answer.
2: Late reminders cannot prevent the described forgetting in time. 3: Building count does not test the reminder mechanism. 4: Other causes can remain while the plan reduces forgetting; this does not provide positive support. 5: A memorable product name is not evidence of changed attendance.
Each rejection identifies a specific mismatch with the passage or task.
Check the difficult boundary.
The trial supports fewer forgotten appointments; it does not establish that no appointment will ever be missed.
This last check preserves the exact strength and scope of the answer rather than turning it into a broader claim.
Locate the proposed cause.
A shop reports fewer order errors after introducing a checklist.
The inference attributes a change to a procedure.
Supply the useful comparison.
Comparable shifts assigned the checklist made fewer errors than shifts using the old procedure.
The comparison addresses a procedure effect rather than a general change across all shifts.
State the limited conclusion.
A library reports more returns on time after it began sending reminders. Its director attributes the improvement to the reminders. Which finding most strengthens that explanation?
A survey of morning bus passengers found strong support for later evening service. A planner infers that most current bus passengers support the extension. Which additional information most strengthens the inference? (1) Morning passengers were asked the same question twice. (2) The survey used the city's official letterhead. (3) Drivers prefer earlier shifts. (4) Evening passengers strongly oppose the extension. (5) An independently drawn representative sample across all service hours showed the same majority support. Find the evidence that most improves the missing support connection; a guarantee is unnecessary. Complete the method with the number of the best answer.
Name the precise task.
Find the evidence that most improves the missing support connection; a guarantee is unnecessary.
The question determines what would count as a successful answer.
Compare the candidates against the target.
Best answer: answer.
Preserve quantities, speaker attribution and the exact conclusion or passage claim.
Check the strongest rival.
Explain which required connection that rival lacks.
A defensible rejection exposes the misconception rather than memorizing an option number.
A park plans to reduce litter by placing bins beside the exit. The plan assumes visitors who carry rubbish out will use conveniently placed bins. Which fact most supports the plan's expected effect? (1) The new bins will have an attractive logo. (2) The exit is closed to visitors most days. (3) The park once had a different name. (4) Some visitors bring no rubbish. (5) In a comparable trial, visitors carrying rubbish used exit bins and discarded less on the path. Enter Y for the best answer to the question and N for each rejected alternative. Then identify the question kind. Task codes: AR argument parts; NA necessary assumption; SA sufficient assumption; ST strengthen; WE weaken; FL flaw; IN inference; PR principle; PA parallel; RE resolve; ME method or role; DI disagreement; EV evaluate; AN analogy; MU misunderstanding; MP main point or structure; DE detail or supported reading inference; CO compare passages; AT attitude or application; VC words and rhetorical purpose; RP passage principles and analogies; NE new evidence in reading; WR writing-plan analysis. These analysis records are instructional exercises, not the official response format.
| Analysis | Y/N or task code |
|---|---|
| Alternative 1 | |
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| Question kind |
A library reports more returns on time after it began sending reminders. Its director attributes the improvement to the reminders. Which finding most strengthens that explanation?
A park plans to reduce litter by placing bins beside the exit. The plan assumes visitors who carry rubbish out will use conveniently placed bins. Which fact most supports the plan's expected effect?
A survey of morning bus passengers found strong support for later evening service. A planner infers that most current bus passengers support the extension. Which additional information most strengthens the inference?
A factory attributes fewer damaged parcels to new padding. Its package volume and delivery routes were unchanged. Which fact most strengthens the explanation?
A town predicts that opening a second pool will reduce crowding at the first. The second pool will offer the same hours and activities. Which evidence most strengthens that prediction?
A survey of volunteers finds broad support for an evening bus. The planner concludes that most residents support it. Which fact most strengthens the generalization?
A theater predicts that a cheaper weekday matinee will increase total ticket revenue, despite earning less on each matinee ticket. Which evidence most strengthens the prediction?
A researcher argues that a marked rise in lake salinity came from a newly diverted saline stream, rather than evaporation. Which finding most strengthens the argument?
A factory attributes fewer surface defects to a new polishing method used this month. Which finding most strengthens that attribution? (1) This month's raw material was much smoother than last month's. (2) The new machine is painted white. (3) The factory sells more items this year. (4) Inspectors stopped counting small defects this month. (5) On randomly divided pieces from the same batch, the new method produced fewer defects than the old method. Enter Y for the best answer to the question and N for each rejected alternative. Then identify the question kind. Task codes: AR argument parts; NA necessary assumption; SA sufficient assumption; ST strengthen; WE weaken; FL flaw; IN inference; PR principle; PA parallel; RE resolve; ME method or role; DI disagreement; EV evaluate; AN analogy; MU misunderstanding; MP main point or structure; DE detail or supported reading inference; CO compare passages; AT attitude or application; VC words and rhetorical purpose; RP passage principles and analogies; NE new evidence in reading; WR writing-plan analysis. These analysis records are instructional exercises, not the official response format.
| Analysis | Y/N or task code |
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Lesson test: one question per skill, one attempt each, no hints. Your answers are checked when you submit.
A nursery credits adjustable shade screens for fewer wilted seedlings. It recorded similar temperatures before and after installation. Which fact most strengthens the attribution? (1) The nursery sells several species. (2) Some seedlings wilted after installation. (3) Seedlings randomly assigned to unscreened beds still wilted at the earlier rate under the same watering schedule. (4) The screens are easy to store. (5) Staff also greatly increased watering in every bed. Enter Y for the best answer to the question and N for each rejected alternative. Then identify the question kind. Task codes: AR argument parts; NA necessary assumption; SA sufficient assumption; ST strengthen; WE weaken; FL flaw; IN inference; PR principle; PA parallel; RE resolve; ME method or role; DI disagreement; EV evaluate; AN analogy; MU misunderstanding; MP main point or structure; DE detail or supported reading inference; CO compare passages; AT attitude or application; VC words and rhetorical purpose; RP passage principles and analogies; NE new evidence in reading; WR writing-plan analysis. These analysis records are instructional exercises, not the official response format.
| Analysis | Y/N or task code |
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Tomorrow, distinguish strengthening from sufficient repair without notes. Recall a causal rival, a sample mismatch and an implementation obstacle. Next, reverse the direction of the evidence test to weaken an argument.
14. Finish the causal comparison, step 3
This strengthens the checklist explanation without guaranteeing that every future order will be correct.
Improved support and certainty are different demands.