QCEVault

Specialist Maths questions and solutions

Browse original practice and official past-paper questions. Each question has its own link, with its source and worked solution.

524 questions · Page 22 of 22

  1. Q278 · Original practice · 6 marks
    The supplied direction field represents dy/dx=xydy/dx=xy. Consider the solution with y(−1)=1y(-1)=1 on −2≤x≤2-2\le x\le2.
    Rates of change and differential equations
  2. Q279 · Original practice · 6 marks
    An ellipse has equation x2/9+y2/4=1x^2/9+y^2/4=1. Point P on its upper half has coordinates (33/2,1)(3\sqrt3/2,1).
    Rates of change and differential equations
  3. Q280 · Original practice · 6 marks
    A trolley has acceleration a(t)=6−2ta(t)=6-2t m s−2^{-2} for 0≤t≤60\le t\le6 s and initial velocity v(0)=−5v(0)=-5 m s−1^{-1}. The acceleration graph is supplied.
    Modelling motion
  4. Q281 · Original practice · 5 marks
    A calibration calculation requires
    I=∫0π/4(tan⁡2x+sin⁡2(2x)) dx.I=\int_0^{\pi/4}\bigl(\tan^2x+\sin^2(2x)\bigr)\,dx.
    Integration techniques
  5. Q282 · Original practice · 5 marks
    A curve satisfies f′(x)=e−x/1−e−2xf\prime(x)=e^{-x}/\sqrt{1-e^{-2x}} for x>0x>0, and f(ln⁡2)=π/3f(\ln2)=\pi/3. Angles are in radians.
    Integration techniques
  6. Q283 · Original practice · 8 marks
    A waiting time T has density f(t)=kte−2tf(t)=kt e^{-2t} for t≥0t\ge0 and zero otherwise, with k>0k>0. For this question you may use
    E(T)=∫0∞tf(t) dt,E(T2)=∫0∞t2f(t) dt,Var⁡(T)=E(T2)−[E(T)]2.E(T)=\int_0^\infty tf(t)\,dt,\qquad E(T^2)=\int_0^\infty t^2f(t)\,dt,\qquad\operatorname{Var}(T)=E(T^2)-[E(T)]^2.
    All relevant integrals converge; polynomial factors times e−2te^{-2t} tend to zero at infinity.
    Applications of integral calculus
  7. Q284 · Original practice · 4 marks
    A random sample of 12 independent tests records the times shown in the table, in minutes. Assume test times in the population are normal. The sample standard deviation is s=1.0445s=1.0445 minutes. Use z=1.96z=1.96 and the QCAA approximate interval x‾±zs/n\overline x\pm zs/\sqrt n.
    Statistical inference
  8. Q285 · Original practice · 6 marks
    Let Φ\Phi be the standard normal cumulative distribution function. A normal population X has unknown mean μ\mu and standard deviation σ>0\sigma>0. It is known that P(X<44)=Φ(1)P(X<44)=\Phi(1) and P(X<36)=Φ(−1)P(X<36)=\Phi(-1).
    Statistical inference
  9. Q286 · Original practice · 6 marks
    Two independent studies each use n=100. Their observed 95% confidence intervals are (18,22)(18,22) and (23,29)(23,29). Both use x‾±1.96s/n\overline x\pm1.96s/\sqrt n. The confidence level is changed using the same two datasets.
    Statistical inference
  10. Q287 · Original practice · 6 marks
    A tank is an inverted square-based pyramid, 6 m deep with top side length 4 m. Water enters at 8 m3^3/min. The water depth h and water-surface side length s satisfy the same similarity ratio as the full tank. A central vertical cross-section is supplied.
    Rates of change and differential equations
  11. Q288 · Original practice · 1 mark
    A position vector is a=3i+4j+5k\mathbf a=3\mathbf i+4\mathbf j+5\mathbf k. Its altitude angle above the xy-plane is
    Vectors in two and three dimensions
  12. Q289 · Original practice · 1 mark
    Let a=(2,−3,1)\mathbf a=(2,-3,1) and b=(−1,0,0)\mathbf b=(-1,0,0). The scalar projection of a onto b is
    Vectors in two and three dimensions
  13. Q290 · Original practice · 1 mark
    For f(x)=arcsin⁡(3x)f(x)=\arcsin(3x), determine f′(1/6)f\prime(1/6).
    Integration techniques
  14. Q291 · Original practice · 1 mark
    If 5x+1(x−1)(x+2)=Ax−1+Bx+2\frac{5x+1}{(x-1)(x+2)}=\frac A{x-1}+\frac B{x+2}, determine A.
    Integration techniques
  15. Q292 · Original practice · 1 mark
    A student verifies a proposition for n=1, then proves that if it holds for n=k, it holds for n=k+2. What can this establish without another base case?
    Mathematical induction and trigonometric proofs
  16. Q293 · Original practice · 1 mark
    Independent observations are normal with mean 40 and standard deviation 8. Which describes the distribution of sample means from samples of size 16? The second parameter of N is variance.
    Statistical inference
  17. Q294 · Original practice · 1 mark
    A particle moving in the positive x-direction has velocity v(x)=18−2x2v(x)=\sqrt{18-2x^2} m s−1^{-1} while the radicand is positive. Its acceleration at x=2 m is
    Modelling motion
  18. Q295 · Original practice · 1 mark
    Which example shows that ∣z+w∣=∣z∣+∣w∣|z+w|=|z|+|w| is not true for every pair of complex numbers?
    Further complex numbers
  19. Q296 · Original practice · 5 marks
    A channel has the depths in the supplied table, measured at equally spaced positions across its 4 m width. The water has uniform downstream speed 0.75 m/s. The flow rate equals cross-sectional area times downstream speed.
    Applications of integral calculus
  20. Q297 · Original practice · 6 marks
    A particle has r(t)=4cos⁡(2t)i+4sin⁡(2t)j\mathbf r(t)=4\cos(2t)\mathbf i+4\sin(2t)\mathbf j metres. The question diagram shows its circular path and the point at t=π/8t=\pi/8 s.
    Vector calculus