AP Calculus BC Analytical Applications of Differentiation — Worked Answer Explanations
Unit 5 · 12 questions explained
Below is a complete answer key for our AP Calculus BC Analytical Applications of Differentiation practice questions. For each question you'll find the correct choice, a full written explanation of how to get there, and — for every wrong answer — a short note on exactly why it's tempting and where it goes wrong. Reading these straight through is one of the fastest ways to find the gaps in a unit before exam day.
Prefer to test yourself first? Take the timed Analytical Applications of Differentiation practice test and come back here to review, or head back to the Analytical Applications of Differentiation unit overview.
- Question 1 · Easy
Let on . By the Extreme Value Theorem, the absolute maximum value of on this interval is:
- ACorrect
- BWhy not B: Returns the absolute minimum , confusing minimum with maximum.
- CWhy not C: Returns , which is neither the maximum nor minimum.
- DWhy not D: Evaluates only at () rather than the full .
ExplanationCritical points: . Candidate values: , , , . Absolute maximum is , attained at and .
Key takeawayTo find absolute extrema on $[a,b]$: evaluate $f$ at all critical points and both endpoints; the largest value is the absolute maximum.
- A
- Question 2 · Easy
For on , find the value guaranteed by the Mean Value Theorem.
- AWhy not A: Returns the left endpoint; MVT guarantees in the open interval .
- BWhy not B: Solves instead of (the average rate of change is ).
- CCorrect
- DWhy not D: Returns the right endpoint; MVT requires , not at the boundary.
ExplanationAverage rate of change: . MVT: find with . , so .
Key takeawayMVT: $f'(c) = [f(b)-f(a)]/(b-a)$; compute the average rate, then set equal to $f'(c)$ and solve.
- A
- Question 3 · Easy
For , on what intervals is increasing?
- AWhy not A: Identifies the interval where (decreasing), not where (increasing).
- Band Correct
- CWhy not C: Uses as a boundary instead of the critical point .
- DWhy not D: Incorrectly concludes a cubic is always increasing.
Explanation. Sign analysis: when or . Therefore is increasing on and .
Key takeaway$f$ is increasing where $f'(x) > 0$; find critical points, draw a sign chart, and identify positive intervals.
- A
- Question 4 · Easy
For , use the Second Derivative Test to classify and .
- A: local min; : local maxWhy not A: Reverses the classification: (local max) and (local min).
- B: local max; : local minCorrect
- C: local min; : inflection pointsWhy not C: are critical points of , not inflection points; inflection points are where .
- D: all local minimaWhy not D: Ignores the sign of ; , so cannot be a local minimum.
Explanation; critical points . . local max. local min at both and .
Key takeawaySecond Derivative Test: $f''(c) > 0$ means local min; $f''(c) < 0$ means local max; $f''(c) = 0$ is inconclusive.
- A
- Question 5 · Easy
Find all inflection points of .
- AonlyWhy not A: Finds a critical point of ; , so is not an inflection point.
- BCorrect
- CWhy not C: Sets , finding critical points of rather than inflection points.
- DWhy not D: Solves but makes an arithmetic error writing instead of .
Explanation, . Set : . Concavity check: for (concave down), for (concave up). Sign changes at both and : inflection points at .
Key takeawayInflection points require both $h''(x) = 0$ AND a concavity sign change; always verify the sign of $h''$ on each side.
- A
- Question 6 · Easy
A farmer has m of fencing to enclose a rectangular field against a straight river (no fence on the river side). What dimensions maximize the enclosed area?
- AWidth m (sides), Length m (parallel to river), Area mCorrect
- BWidth m, Length m, Area mWhy not B: Reverses width and length labels; the river-side (length) should be twice the width for optimality.
- CWidth Length m, Area mWhy not C: Divides m equally into three sides instead of into two widths and one length.
- DWidth Length m, Area mWhy not D: Uses all m for the two widths only (), ignoring the river-parallel length entirely.
ExplanationLet = width (perpendicular to river), = length (parallel to river). Constraint: . Area: . . Then , m. confirms maximum.
Key takeawaySet up the area as a function of one variable using the perimeter constraint (three sides), differentiate, and confirm the critical point is a maximum.
- A
- Question 7 · Medium
On what interval is concave down?
- AWhy not A: Finds inflection at correctly but assigns concavity in the wrong direction; to the left of .
- BWhy not B: Uses the local max location (where ) as the concavity boundary rather than the inflection point .
- CCorrect
- DWhy not D: Correctly identifies as in the positive -region but uses the wrong boundary; inflection is at .
Explanation. . Since : . So is concave down on .
Key takeawayConcave down: $f''(x) < 0$; compute the second derivative, factor, and identify where the sign is negative.
- A
- Question 8 · Medium
A function has . On which interval is strictly decreasing?
- AWhy not A: For : and , so — this IS a decreasing interval. But the question asks for the full decreasing set.
- BCorrect
- ConlyWhy not C: Identifies the left decreasing portion but misses where also decreases (the zero at is not a sign change).
- DandWhy not D: Incorrectly identifies as decreasing; for : and , so (increasing).
Explanation. everywhere, with only at . So the sign of matches the sign of : when (and ). At , but concavity doesn't reverse (it's an odd-multiplicity-1 factor in the sign but keeps sign positive). Therefore is decreasing on .
Key takeawayA squared factor $(x-a)^2 \geq 0$ never changes sign; the sign of $f'$ is controlled by the remaining factors.
- A
- Question 9 · Hard
Let have a local maximum at and a local minimum at . Find and .
- A, Correct
- B,Why not B: Uses with roots at but solves Vieta's with wrong sign: sum of roots gives for sum , not .
- C,Why not C: Gets correct but makes a sign error in the product of roots: , so , not .
- D,Why not D: Sets up equations and but makes arithmetic errors in the linear system.
Explanation. Local max at and local min at both require , so . Comparing: and . Verify: ; (local max ✓), (local min ✓).
Key takeawayIf critical points are given, factor $f'$ with those roots, then match coefficients to find the unknowns; verify with $f''$.
- A
- Question 10 · Hard
A closed cylinder must hold volume cm. Find the radius that minimizes total surface area .
- AcmCorrect
- BcmWhy not B: Solves using (double the given volume), getting ; or makes a factor-of- error.
- CcmWhy not C: Uses the volume (twice the given ) in the optimization equation.
- DcmWhy not D: Forgets the factor of on the top disk in , setting up a different equation.
ExplanationConstraint: . Substitute: . cm. confirms minimum.
Key takeawayCylinder optimization: express $S$ in terms of $r$ alone using $h = V/(\pi r^2)$, differentiate, set to zero — gives $r^3 = V/(2\pi)$ in the standard form.
- A
- Question 11 · Hard
Using the MVT on over , find such that equals the average rate of change.
- ACorrect
- BWhy not B: Takes the arithmetic midpoint of the interval instead of solving the MVT equation.
- CWhy not C: Approximates (midpoint of and ) but then takes incorrectly.
- DWhy not D: Takes the square root of rather than returning the value itself; .
ExplanationAverage rate: . Set . Since : ✓.
Key takeawayMVT on $\sqrt{x}$: set $1/(2\sqrt{c})$ equal to the average rate and solve for $c$; verify $c$ lies in the open interval.
- A
- Question 12 · Hard
Let be twice differentiable with , , and . What can be concluded about ?
- Ais a local minimum because .Why not A: The second derivative test is inconclusive when ; cannot conclude minimum from alone.
- Bis an inflection point with a horizontal tangent.Correct
- Cis a saddle point but not an inflection point.Why not C: 'Saddle point' is not a standard single-variable calculus term for a horizontal tangent inflection; the correct term is inflection point with .
- DNo conclusion can be drawn without higher derivatives.Why not D: The given information () is sufficient to conclude the point is an inflection: concavity changes across .
Explanationmeans a horizontal tangent. means the second derivative test is inconclusive. means changes sign at (since has an odd-order root there). Therefore concavity changes at : it is an inflection point. Since , it is an inflection point with a horizontal tangent (sometimes called a 'stationary inflection point' or 'saddle point' in informal usage).
Key takeawayWhen $f'(c) = 0$, $f''(c) = 0$, and $f'''(c) \neq 0$: $f''$ has a simple root at $c$, concavity changes, so $c$ is an inflection point (with a horizontal tangent).
- A