A-level · Statistical distributions

Finding μ and σExam-style questions

Working backwards from given probabilities to find an unknown mean or standard deviation (or both) by standardising to a z-value and solving — including a pair of simultaneous equations when both are unknown.

25 questions · A-level level · mark scheme and worked solution on each · no sign-up to try

DifficultyAllLevel 3Level 4Level 5
  1. 1
    The mass, XX grams, of a loaf of bread produced by a bakery is modelled by a normal distribution with mean μ\mu and standard deviation σ\sigma. Records show that 2.28%2.28\% of loaves have mass less than 775775 g and that 91.04%91.04\% of loaves have mass between 775775 g and 831831 g.
    (a) Find the values of μ\mu and σ\sigma. (5 marks)

    The bakery installs a new oven. The baker believes that loaves baked in the new oven have a greater mean mass. It may be assumed that the standard deviation is unchanged. A random sample of 2525 loaves baked in the new oven has mean mass 812.5812.5 g.
    (b) Test the baker's belief at the 5%5\% level of significance. State your hypotheses clearly. (5 marks)
    (c) Explain how, if at all, your conclusion would change if the baker had believed only that the mean mass had changed, with no view as to the direction of the change. (2 marks)
    (d) A second random sample of nn loaves from the new oven also has mean mass 812.5812.5 g. Find the smallest value of nn for which this sample would provide significant evidence, at the 5%5\% level, that the mean mass has changed. (2 marks)
    Level 5 · 14 marksTry it
  2. 2
    (a) The heights of a species of plant are normally distributed with mean μ\mu cm and standard deviation σ\sigma cm. It is found that 15%15\% of the plants are shorter than 2020 cm and 20%20\% are taller than 3535 cm.

    Find the values of μ\mu and σ\sigma. (5 marks)
    (b) A fair six-sided die is thrown 180180 times. Using a suitable approximation, find the probability that a six is obtained at least 4040 times. (3 marks)
    Level 5 · 8 marksTry it
  3. 3
    The weights of apples from an orchard, WW grams, are modelled by a normal distribution with mean μ\mu and standard deviation σ\sigma.

    It is known that 10%10\% of the apples weigh less than 120120 g and that 5%5\% of the apples weigh more than 190190 g.
    (a) Find the value of μ\mu and the value of σ\sigma, giving each answer to 33 significant figures. (6 marks)

    An apple is classed as large if it weighs more than 160160 g.
    (b) Show that the probability that a randomly chosen apple is large is approximately 0.350.35. (2 marks)

    A wholesaler buys a random sample of 200200 apples from the orchard.
    (c) Using a suitable approximation, which you should justify, estimate the probability that at least 8080 of these apples are large. Use P(large)=0.35\mathrm{P}(\text{large}) = 0.35. (5 marks)
    Level 5 · 13 marksTry it
  4. 4
    Component lifetimes are N(μ,σ2)N(\mu, \sigma^2) hours. 10%10\% last under 800800 and 5%5\% last over 12001200.
    (a) Find μ\mu and σ\sigma to 3 s.f.
    (b) Hence find P(X>1000)P(X > 1000), to 3 d.p.
    Level 5 · 6 marksTry it
  5. 5
    The lifetimes of a type of battery are modelled as N(μ,σ2)N(\mu, \sigma^{2}) hours. 20%20\% of batteries last less than 10001000 hours and 10%10\% last more than 15001500 hours.

    Find μ\mu and σ\sigma, giving your answers to 3 significant figures. (6 marks)
    Level 5 · 6 marksTry it

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