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Mathematical Methods questions and solutions

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

610 questions · Page 21 of 26

  1. Q249 · Original practice · 1 mark
    A Bernoulli random variable has success probability 0.350.35. Its variance is
    Discrete random variables
  2. Q250 · Original practice · 1 mark
    The shaded region lies between y=3−xy=3-x and the xx-axis for 0≤x≤30\leq x\leq3. Its area is
    Further integration
  3. Q251 · Original practice · 1 mark
    The graph shows a velocity function. The displacement over 0≤t≤40\leq t\leq4 is ∫04(t−2) dt\int_0^4(t-2)\,dt. What is the total distance travelled?
    Further integration
  4. Q252 · Original practice · 1 mark
    Values of ff are f(0)=2f(0)=2, f(1)=5f(1)=5 and f(2)=4f(2)=4. The trapezoidal estimate of ∫02f(x) dx\int_0^2 f(x)\,dx with two equal strips is
    Further integration
  5. Q253 · Original practice · 1 mark
    In triangle ABCABC, AB=7AB=7 cm, AC=5AC=5 cm and ∠BAC=60∘\angle BAC=60^\circ. The length BCBC is
    Trigonometry
  6. Q254 · Original practice · 1 mark
    Two straight paths of lengths 88 m and 1010 m meet at an angle of 30∘30^\circ. The area of the triangle they form is
    Trigonometry
  7. Q255 · Original practice · 1 mark
    A drone flies from AA to BB on a bearing of 065∘065^\circ. The bearing of AA from BB is
    Trigonometry
  8. Q256 · Original practice · 1 mark
    A random variable has probability density f(x)=kxf(x)=kx for 0≤x≤20\leq x\leq2, and zero otherwise. What is kk?
    Continuous random variables and the normal distribution
  9. Q257 · Original practice · 1 mark
    For a continuous random variable with a probability density, P(X=3)P(X=3) equals
    Continuous random variables and the normal distribution
  10. Q258 · Original practice · 1 mark
    Cookie masses are normally distributed with mean 5252 g and standard deviation 44 g. A cookie of mass 5858 g has standardised value
    Continuous random variables and the normal distribution
  11. Q259 · Original practice · 1 mark
    The graph shows a normal density. The shaded area is approximately
    Continuous random variables and the normal distribution
  12. Q260 · Original practice · 1 mark
    In a random sample of 240240 festival visitors, 156156 arrived by public transport. The sample proportion is
    Sampling and proportions
  13. Q261 · Original practice · 1 mark
    For independent random samples of size 100100 from a population with proportion p=0.4p=0.4, the standard deviation of the sample proportion is
    Sampling and proportions
  14. Q262 · Original practice · 1 mark
    A school wants to estimate the proportion of all students who cycle to school. Which procedure is most likely to produce a representative sample?
    Sampling and proportions
  15. Q263 · Original practice · 1 mark
    A 95%95\% approximate confidence interval for a population proportion is (0.41,0.53)(0.41,0.53). Its margin of error is
    Interval estimates for proportions
  16. Q264 · Original practice · 1 mark
    A researcher reports a 95%95\% confidence interval for the proportion of households with a compost bin. Which interpretation is appropriate?
    Interval estimates for proportions
  17. Q265 · Original practice · 1 mark
    For a fixed sample, increasing the confidence level from 90%90\% to 99%99\% produces an approximate confidence interval that is
    Interval estimates for proportions
  18. Q266 · Original practice · 1 mark
    Using the same confidence level and assumed proportion, a sample of size nn gives a planned margin of error 0.040.04. To reduce this to 0.020.02, the required sample size is
    Interval estimates for proportions
  19. Q267 · Original practice · 1 mark
    For f(x)=ln⁡xxf(x)=\dfrac{\ln x}{x}, where x>0x>0, f′(x)f^{\prime}(x) is
    Differentiation of trigonometric functions and differentiation rules
  20. Q268 · Original practice · 1 mark
    A player takes four independent shots, each successful with probability 0.60.6. A badge is awarded for at least three successes. The probability of a badge is
    Discrete random variables
  21. Q269 · Original practice · 3 marks
    Consider the equation ln⁡(x−1)+ln⁡(x+1)=ln⁡8\ln(x-1)+\ln(x+1)=\ln8.
    Differentiation of exponential and logarithmic functions
  22. Q270 · Original practice · 4 marks
    The scent concentration from a diffuser is modelled by C(t)=Ae−ktC(t)=Ae^{-kt}, where CC is measured in arbitrary units and tt in hours. Measurements give C(0)=80C(0)=80 and C(3)=20C(3)=20.
    Differentiation of exponential and logarithmic functions
  23. Q271 · Original practice · 4 marks
    The curve y=ln⁡(2x+1)y=\ln(2x+1) is defined for x>−12x>-\dfrac12.
    Differentiation of exponential and logarithmic functions
  24. Q272 · Original practice · 5 marks
    A pop-up shop models its hourly sales rate by R(t)=60te−tR(t)=60te^{-t} for 0≤t≤50\leq t\leq5, where tt is hours after opening and RR is items per hour.
    Further applications of differentiation