November 2026 Digital SAT 11A: Evidence Shifts, Translations, and Geometry

By Lawrence · Updated November 12, 2026

Form 11A is a particularly good test of whether recognition has become understanding. A familiar experiment about dogs now asks about language exposure, an earlier graph about women judges has a different target comparison, and a familiar rational function now has a squared denominator. Remembering the subject is useful; remembering an old answer letter can actively interfere with the new task. Our analysis follows those changes and works through six questions whose reasoning transfers beyond this file.

The Reading and Writing selections emphasize how to choose the right comparison: a counterexample to a universal claim, a within-sex comparison across temperatures, and an age-related difference between familiar and unfamiliar languages. Math then asks for three distinct habits: substituting into an entire function, measuring spread around a common center, and deriving a geometric proportion from stated conditions. These are the decisions that make the paper useful for review, even when its vocabulary and settings look familiar.

Source coverage and how to use this file

The supplied file is labeled 2026 11A and internally labeled Practice Test 4. It has 179 PDF pages and 147 numbered question occurrences: 81 Reading and Writing and 66 Math. Each subject includes Module 1 plus both an Easier and a Harder Module 2, for six blocks with six answer-key pages. These are archive and practice-file labels, not independent verification of a particular administration or adaptive route. The displayed difficulty ratings are the source’s predicted ratings, not College Board ratings. We independently explain the six selected answers below; that review is not a certification of every supplied answer.

All page references in this analysis are PDF page numbers. For a single-route rehearsal, choose one second-module block per subject; use the alternate block later for review. The 147 count describes occurrences in the full file, not 147 distinct questions on one test sitting.

Reading and Writing: the claim determines the comparison

Module 1 does not stay at the level of vocabulary recall. Q2, p.3, concerns complicated documentation, while Q4, p.5, asks the reader to understand why uniform requirements can be inequitable. In each, the surrounding explanation supplies a logical constraint on the missing word. Translate that explanation into a short prediction before reading choices: complexity is different from inaccuracy, and equal treatment is different from fair outcomes. That distinction prevents a plausible word with the wrong implication from winning by familiarity.

The evidence cluster then changes the kind of relationship required. Q10, p.11, needs an exception to a universal account of temporal gestures. Q11, p.12, concerns coral depth, and Q13, p.14, uses evidence about birds. Q14, p.15, examines classification of an invasive starling. The common operation is to separate what a passage discusses from what its final claim actually asserts. Write a compact relationship, such as “future versus past direction,” rather than a topic label such as “Yupno.” A topic label is too broad to eliminate distractors.

The easier second module remains valuable for precise data reading. Q11, p.45, uses a biking table; Q13, p.47, uses economic contributions; Q14, p.48, uses women-judge counts. These are three opportunities to misread a denominator, a column, or a comparison axis. The judges question specifically requires one country increasing and another decreasing. A true statement that a third country stayed unchanged cannot fulfill that paired claim. The music-tempo inference in Q15, p.49, adds causal reasoning: fatigue on the second day can suppress a benefit associated with faster music.

In the harder version, Q10–Q13, pp.77–80, place fruit flies, honeybees, dog language, and carbon modeling close together. Do not let biological detail obscure the design of the evidence. The fruit-fly item uses wing size as a proxy; the dog item compares language conditions; the carbon item compares model resolutions. Those distinctions explain why a scientifically relevant observation can still be an irrelevant answer. Later, Q20, p.87, returns to sentence structure in an exoplanet context, and Q27, p.94, requires connecting a historian’s quotation to population change. The latter demands that national urban growth remain distinct from Manchester’s much larger local increase.

Math: preserve structure before calculating

Module 1 includes exponential notation at Q7, p.107, a radical expression at Q18, p.118, and similar-triangle trigonometry at Q22, p.122. These questions reward reading the complete expression or figure before choosing a method. An exponent belongs to a base, a radical bar has a definite endpoint, and a trigonometric ratio belongs to a specified angle. Recopying only the numerals loses exactly the information that controls the solution.

The easier second module provides useful algebraic checkpoints. Q19, p.145, requires attention to a positivity condition, while Q21, p.147, presents a factored equation whose root sum can be found without expanding the entire polynomial. Those should be reviewed as questions about restrictions and targets, rather than as invitations to apply one default solving routine. A solver who expands automatically may spend more time while obscuring the answer already visible in the factors.

The harder module shifts among function transformations at Q11, p.164, conditional probability at Q14, p.167, a translated line at Q15, p.168, and data transformations at Q17, p.170. In the probability item, identify the population after the condition is imposed before selecting a denominator. In translation questions, distinguish a change to the input from a change to the output. The final cluster includes standard deviation at Q20, p.173, population percentages at Q21, p.174, and the geometric construction at Q22, p.175. Their difficulty comes from deciding what remains invariant, not from unusually large calculations.

Six worked questions with source images

A counterexample to a universal claim

R&W Module 1 Q10 · PDF p.11 · Answer: B

The researchers reject the idea that cultures universally organize temporal distinctions along imagined linear axes. The answer therefore needs an observation that conflicts with that supposed universal pattern. B says that future-oriented gestures do not, on average, point in the opposite linear direction from past-oriented gestures. It addresses the spatial organization of time itself and supplies the required counterexample.

A concerns where gestures occur and how often they occur there. A culture could gesture more indoors while still using a linear time axis. C concerns the hand used, which likewise does not determine the direction or geometry of the gesture. D reports a grammatical similarity to English, but the conclusion is about a proposed universal tendency, not whether two languages share any structure. Each distractor preserves the broad topic while discarding the variable that matters.

An efficient approach is to reduce the claim to “not always a past/future line” before looking at the options. You then need one relevant exception, not evidence that every Yupno gesture behaves identically. The phrase “on average” in B is compatible with that task. Compare October 10B, p.52, afterward: the same evidentiary role moves from D to B despite changes in names, language examples, and the quoted temporal expression.

A proxy measure and the correct pair of rows

R&W Module 2 Harder Q10 · PDF p.77 · Answer: B

The passage supplies a chain: warmer collection months are associated with longer life span, and wing centroid size serves as a proxy for body size, which correlates with life span. B compares male wing size in July, 2.02 mm, with male wing size in October, 1.98 mm. July is warmer in both its high and low temperatures. Holding sex constant makes this an appropriate illustration of the asserted temperature-related pattern.

A compares females with males across months. It may be true, but it explains a sex difference rather than a warm-versus-cool contrast. C compares temperatures alone, leaving out the body-size outcome. D is a data-reading trap: 2.02 is the July male value, not the female value. The July and June female entries are both 2.31. A familiar-looking number cannot be accepted until its row and column are checked together.

Do not calculate a correlation coefficient or infer a numerical life span. Neither is requested or supplied. Under time pressure, circle the warmer and cooler rows, then follow one sex column. The September 9B version, p.36, asks for cooler months and shorter life span and selects a different valid pair. The underlying association survives, while the required direction and answer location change.

Language exposure is not speech-versus-noise detection

R&W Module 2 Harder Q12 · PDF p.79 · Answer: B

The conclusion links previous language exposure to distinguishing a familiar language from an unfamiliar one. B reports that the difference in brain activity between those two language conditions is greatest among older dogs. Given the passage’s similar-settings context, age provides evidence consistent with greater accumulated exposure, and the outcome is exactly the distinction the researchers discuss. It supports the conclusion without proving that age is the only cause.

The scrambled recording is an attractive distraction because it occupies a substantial part of the experimental description. A compares scrambled speech with unfamiliar language, and D compares scrambled speech with familiar language. Those contrasts concern speech-like material versus nonspeech, which is a different outcome. C mentions age and language, but it does not show that the familiar-versus-unfamiliar difference becomes larger with greater exposure; its general hearing observation does not supply that missing relationship.

Draw three small columns: familiar, unfamiliar, scrambled. Then mark the pair named by the conclusion. This simple representation makes B’s relevance visible before the long answer choices consume time. The older March 2024 3D question, PDF p.27, used this experimental setup to ask about anatomical features and speech-versus-nonspeech discrimination. That is a reused setup with a genuinely different claim, not an answer to recall unchanged.

Translate the whole input before squaring

Math Module 2 Harder Q11 · PDF p.164 · Answer: B

The displayed function is g(x)=(a−14)/x²+6. Moving its graph four units left replaces x everywhere in the function by x+4. Moving it eight units up adds eight to the output. Thus h(x)=g(x+4)+8=(a−14)/(x+4)²+14, which is B. The numerator remains a−14 because a vertical translation adds to the function value, not to a selected coefficient.

A uses x−4 and therefore shifts right. C and D put the adjustment after x has already been squared, which is not the same as shifting the input. For example, (x+4)² includes the cross term 8x, whereas x²+4 does not. Keeping the expression g(x+4) intact for one line is a reliable way to avoid this mistake.

A second check uses a corresponding point: the old input x=1 becomes the new input x=−3, and the new output should be eight greater. Substituting −3 into (x+4)² produces 1, as required. This check remains useful even when a makes the numerator zero; it does not depend on assuming a nonzero asymptote. Compared with October 10G, p.72, both movement directions and the denominator’s power change, so copying its final expression is especially unsafe.

Compare weighted distances from the shared mean

Math Module 2 Harder Q20 · PDF p.173 · Answer: C

All four frequency tables contain 80 observations and are symmetric around 3, so their means are all 3. That makes spread directly comparable. In C, 56 observations equal the mean, the remaining 24 are only one unit away, and none are two units away. Its sum of squared deviations is 12(2−3)²+56(3−3)²+12(4−3)²=24. Dividing by 80 gives variance 0.3.

For a complete comparison, the corresponding squared-deviation totals are 160 for A, 182 for B, and 116 for D. Because all four totals use the same denominator, taking square roots is unnecessary: C has the smallest variance and therefore the smallest standard deviation. Even if a calculator reports sample rather than population standard deviation, the ordering remains unchanged because every data set has the same size.

A common mistake is to compare the spread of the frequencies themselves. Standard deviation here describes the data values 1 through 5, weighted by how often they occur. Another is to compare only the ranges: A, B, and D share a range, yet their concentrations differ. The quick visual judgment favors C, but the common-mean and common-size checks explain why that judgment is valid.

Turn the 30-degree condition into a similarity ratio

Math Module 2 Harder Q22 · PDF p.175 · Answer: 44

Because AB=BC and DE is parallel to AC, triangle BDE is isosceles. Its median BO is perpendicular to DE. The line BF therefore is also perpendicular to AC, so AOF is a right triangle with angle OAF=30°. In that triangle the hypotenuse AO is twice the side OF opposite 30°: AO=2OF. The given equality AO=BO then gives BO=2OF and BF=BO+OF=3OF.

Triangles BDE and BAC are similar, and their corresponding altitude ratio is BO/BF=2/3. Their side ratio is therefore BE/BC=2/3. Since BC=AB=66, BE=44. The response is a length, so enter 44 rather than the ratio 2/3 or the remaining segment EC=22.

The crucial step is proving the right angle from the isosceles triangle and the midpoint, rather than trusting how the diagram looks. O is the midpoint of DE, not the midpoint of BF; treating it as the latter incorrectly creates a one-half scale factor. A coordinate method could place F at the origin and use tan30°, but it introduces more algebra than the median and special-triangle facts require. On a timed attempt, seek the small triangle that contains both the marked angle and the given equal lengths.

Eight verified comparisons with earlier papers

These are selected question-level comparisons, not an estimate of whole-paper overlap. A near-repeat retains most wording or reasoning; a retune changes details or quantities; reused context can change the claim itself; a skill analogue shares a method without being the same question.

2026 10B → 11A p.11

Near-repeat with retuned context. The temporal-gesture example changes Núñez to Morales, the quoted past expression to omo-ropmo bilak, and Hebrew right/left language to English front/back language. The decisive counterexample remains a lack of opposite linear directions, but its position changes from D to B. Retain the logical test of universality, not the superficial cultural details or the old letter.

2026 10H → 11A p.48

Reused graph context with a changed claim. October asks for a country whose count remained the same while exceeding other countries. November asks for an increase in one country and a decrease in another, so Gabon and the Philippines matter rather than Sweden’s stable count. This is an especially productive pair to solve consecutively: an accurate description of the graph is insufficient unless it illustrates the sentence being completed.

2026 10 17 schoolday 2 → 11A p.56

Retuned process passage. October uses pomegranate rind, yellow dye, and the transition Last. November uses madder root, red dye, and Finally. First soaking, then simmering, then removal still creates a sequence. Therefore is tempting because removal follows the earlier steps, but sequence alone is not an argumentative cause-and-effect relation. The color and plant are context; the ordering of actions supplies the answer.

2026 6C → 11A p.82

Retuned causal-inference passage. June uses Beyoncé at 88 bpm and Led Zeppelin at 169 bpm. November uses Adele at 68 bpm and Outkast at 160 bpm. Both describe 30 minutes of cycling and possible next-day fatigue. The slower performance caused by fatigue can hide part of the faster music’s benefit, producing underestimation. Neither version establishes a participant preference or an inability to measure speed.

2026 9B → 11A p.77

Reused table with a reversed framing. September says cooler months should mean shorter life span; November says warmer months should mean longer life span. The displayed values support the same association, but the accepted examples differ. September’s female May–July comparison becomes November’s male July–October comparison. Practise reading the direction of the claim before choosing two rows, and preserve the sex category when using the proxy measure.

2024 3D → 11A p.79

Reused experimental setup with a changed conclusion. The 2024 item asks about anatomy and discrimination between speech and nonspeech. November changes the named dogs, book, and languages, but more importantly asks about prior exposure and familiar versus unfamiliar languages. That change makes the relevant experimental contrast different. A recognizable passage should trigger a fresh reading of the final sentence, particularly when there are three conditions to compare.

2025 9E → 11A p.94

Retuned rhetorical-synthesis notes. The old Manchester map is dated 1746 and the historian is Donna Sherman; November uses 1752 and Elaine Porter. The 30% UK urban-growth figure and 2,000% Manchester figure retain different scopes. The successful synthesis connects local maps with the broader urban-growth trend without assigning Manchester’s percentage to the whole country. The map date changes; the scope discipline does not.

2026 10G → 11A p.164

Structural retune. October translates (a−13)/x+7 three units down and five right, giving (a−13)/(x−5)+4. November translates (a−14)/x²+6 eight up and four left, giving (a−14)/(x+4)²+14. Both use input substitution followed by an output adjustment, but November requires the entire shifted input to be squared. This pair tests a reusable operation rather than memorization of signs or constants.

A focused study plan for this form

Begin with the three evidence cases, but cover their answer choices and write the comparison each conclusion requires. Your notes should say linear future/past direction, male July/October wing size, and familiar/unfamiliar response by age. If the note says only Yupno, fruit flies, or dogs, revise it: that level of description cannot explain an answer.

Next, solve the judges question on p.48 immediately after October 10H p.41. Label every option as accurate or inaccurate, then separately as relevant or irrelevant. Keeping those two judgments separate is the point of the exercise. Follow with the Manchester notes on p.94 and identify the geographic scope of each percentage before choosing a sentence.

For Math, redo p.164 with the function name still visible: write h(x)=g(x+4)+8 before expanding. Then compare the standard-deviation tables without calculating square roots, and derive the geometry scale factor without measuring the drawing. These three checks reveal whether your errors come from substitution, weighted data, or an unjustified geometric assumption.

Use the alternate second module as a second practice block, not as another independent full test after you have already seen related questions. Record a previously encountered item as recognized, then explain its new demand. Five practical priorities for this form are: identify the claim’s variables; verify table coordinates; distinguish speech comparisons; substitute into whole expressions; and prove a diagram’s right angle before applying a special-triangle ratio. A successful review leaves you able to explain why a tempting alternative answers a different question.

Explore the 2026 Digital SAT paper collection with answer keys to work through the current form and its earlier comparison questions.

More November analysis

Continue with November versus October: what changed · November vocabulary in context · Reading Module 2 evidence and inference. For the full file map, open the November 11A–11K overview.

Every Digital SAT Paper in Our Archive

Our archived files are grouped below by their supplied labels; regional labels and dates describe the archive, rather than independent authentication of an administration.

2023

• March 2023 (3A) · May 2023 (5A) · June 2023 (6A, Easy & Hard) · October 2023 (10A) · November 2023 (11A) · December 2023 (12A–12D)

2024

• March 2024 (3A–3D) · May 2024 (5A–5D) · June 2024 (6A–6E) · August 2024 (8A–8I) · October 2024 (10A–10G) · November 2024 (11A–11F) · December 2024 (12A–12H)

2025

• March 2025 (3A–3H) · May 2025 (5A–5F) · June 2025 (6A–6E) · August 2025 (8A–8F + 8G Question Bank) · September 2025 (9A–9I + 9J Question Bank) · October 2025 (10A–10H, 10I/10J School Day, 10K Question Bank) · November 2025 (11A–11G) · December 2025 (12A Math only, 12B English only, 12C, 12D, 12E, 12F Question Bank)

2026

• March 2026 (3A Question Bank, 3B, 3C US, 3D US English only) · May 2026 (5A, 5B, 5C–5H English only) · June 2026 (6A–6D, 6E Math only, 6F/6G English only, 6H Question Bank, 6I–6K) · August 2026 (8A–8D International, 8E collection labeled “4Sets”, 8F/8G US, 8H International Question Bank) · September 2026 (9A–9C International, 9D–9H US, 9I International Question Bank) · October 2026 (10A–10D International, 10E International English only, 10F–10I US, 10J International Question Bank, 10K US Question Bank; School Day files labeled October 8, October 13 sets 1/2, October 14, October 17 sets 1/2).

November 2026: 11A, 11B, 11C, 11D, 11E, 11F, 11G, 11H, 11I, 11J, 11K.

Keywords: November 2026 Digital SAT, DSAT 11A, SAT Reading and Writing analysis, SAT Math worked questions, October SAT comparisons, SAT QAS review.

Disclaimer: SAT is a trademark of the College Board. ExclusiveSAT is not affiliated with or endorsed by the College Board. Form names follow the supplied archive labels. This educational analysis does not independently authenticate test provenance or certify every answer in the source files.