4.12 Standardising normal variables questions for IB Maths AA

22 questions on Standardising normal variables, written by Augment in the style of IB exam papers. Six of them are below in full, to answer on paper.

  • IB Mathematics: Analysis and Approaches
  • Part of 4 Statistics and probability
  • SL and HL

Questions by paper and level

SL and HL questions are for students at either level. HL only questions cover what only HL students study.

PaperSL and HLHL onlyAll
Paper 1404
Paper 216218
Every paper20222

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Questions to try

Written by Augment in the style of IB exams, not past papers. Answer them on paper, then check each one against its markscheme with a free account.

Question 1 · AA-00429Paper 1 · 5 marks

Amira and Ben sat end-of-year tests in different subjects. The marks in each test were normally distributed.

  • In history, the mean mark was 62 and the standard deviation was 8. Amira scored 74.

  • In chemistry, the mean mark was 70 and the standard deviation was 5. Ben scored 81.

  1. (a)(i)

    Find the standardized value (z-value) of Amira's mark.

    1 mark

  2. (a)(ii)

    Find the standardized value of Ben's mark.

    1 mark

  3. (b)

    State which student performed better relative to the other students who sat the same test. Give a reason for your answer.

    1 mark

  4. (c)

    Carlos also sat the history test. His mark had a standardized value of −0.75. Find Carlos's mark.

    2 marks

Question 2 · AA-00004Paper 2 · 5 marks

The masses of apples from an orchard are normally distributed with mean 180 g and standard deviation 12 g.

  1. (a)

    Find the probability that a randomly chosen apple has a mass of more than 200 g.

    2 marks

  2. (b)

    Apples heavier than k grams are sold as “premium”. 15% of apples are premium. Find k.

    3 marks

Question 3 · AA-00433Paper 1 · 8 marks

Let Z∼N(0,1). It is given that P(Z>1.5)=0.0668 and P(Z<−0.5)=0.3085.

Let X∼N(μ,σ2). It is known that P(X>73)=0.0668 and P(X<57)=0.3085.

  1. (a)

    Find the value of μ and the value of σ.

    4 marks

  2. (b)

    Find P(57<X<73).

    2 marks

  3. (c)

    Find P(X>49).

    2 marks

Question 4 · AA-00420Paper 2 · 15 marks

The lifetimes, T hours, of a brand of rechargeable battery are normally distributed with mean 40 hours and standard deviation σ hours. It is known that 10% of these batteries have a lifetime of less than 37 hours.

  1. (a)

    Show that σ=2.341, correct to four significant figures.

    3 marks

  2. (b)

    Find the probability that a randomly selected battery has a lifetime of more than 44 hours.

    2 marks

  3. (c)

    A battery has already lasted 42 hours. Find the probability that its lifetime is more than 45 hours.

    3 marks

  4. (d)

    Find the probability that at least 7 of the batteries in a randomly selected pack have a lifetime of at least 37 hours.

    3 marks

  5. (e)

    Given that at least one battery in a pack has a lifetime of less than 37 hours, find the probability that exactly two batteries in the pack have a lifetime of less than 37 hours.

    4 marks

Question 5 · AA-00434Paper 1 · 5 marks

Let X∼N(20,42) and Y∼N(35,σ2), where σ>0.

  1. (a)

    Find the standardized value of x=26.

    1 mark

  2. (b)

    It is given that P(Y>44)=P(X>26). Find the value of σ.

    2 marks

  3. (c)

    Find the value of c such that P(Y<c)=P(X>26).

    2 marks

Question 6 · AA-00427Paper 2 · 5 marks

The time taken for a ferry to cross a lake, T minutes, is normally distributed with mean 42 minutes and standard deviation σ minutes. It is found that 6% of crossings take longer than 47 minutes.

  1. (a)

    Find the value of σ.

    3 marks

  2. (b)

    Find the probability that a randomly chosen crossing takes less than 40 minutes.

    2 marks

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The notes on 4.12 Standardising normal variables

More questions in Statistics and probability

  1. 4.1Populations, samples and sampling
  2. 4.2Presenting data
  3. 4.3Measures of central tendency and dispersion
  4. 4.4Linear correlation and regression
  5. 4.5Concepts of probability
  6. 4.6Venn diagrams, tree diagrams and combined events
  7. 4.7Discrete random variables
  8. 4.8The binomial distribution
  9. 4.9The normal distribution
  10. 4.10Regression of x on y
  11. 4.11Conditional probability and independence
  12. 4.12Standardising normal variablesThis page
  13. 4.13Bayes’ theoremHL only
  14. 4.14Continuous random variablesHL only

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