This Year 13 conditional probability and the Normal distribution test lasts 40 minutes and is marked out of 20. It covers the whole chapter for pupils aged 17-18, and the full answers are on a separate page.
- β±οΈ Duration : 40 min
- π― Total : 20 marks
- β 5 questions
Question 1 β Two-way table
80 students were asked whether they attend the gym.
Gym No gym Total Year 12 18 22 40 Year 13 24 16 40 Total 42 38 80 - Find the probability that a randomly chosen student attends the gym. [1 mark]
- Find the probability that a student is in Year 13 given that they attend the gym. [1 mark]
- Determine, with working, whether "attends the gym" and "Year 12" are independent. [2 marks]
Question 2 β Late for school
Tom travels to school by bus with probability 0.6 and by bicycle otherwise. He is late with probability 0.1 when he takes the bus and 0.05 when he cycles.
- Find the probability that Tom is late on a particular day. [2 marks]
- Given that Tom is late, find the probability that he took the bus. [2 marks]
- Find the probability that Tom is not late on any day of a 5-day week, assuming days are independent. [1 mark]
Question 3 β Tomato masses
The mass of a tomato is modelled by \(X\sim N(64,9^2)\) grams.
- Find \(P(X>70)\). [1 mark]
- Find \(P(55\lt X<73)\). [1 mark]
- Find the mass \(k\) such that 20% of tomatoes have mass less than \(k\). [2 marks]
Question 4 β Finding the parameters
\(X\sim N(\mu,\sigma^2)\) with \(P(X<20)=0.15\) and \(P(X>30)=0.4\).
- Write down two equations connecting \(\mu\) and \(\sigma\). [2 marks]
- Find \(\mu\) and \(\sigma\). [2 marks]
Question 5 β Normal approximation
\(X\sim B(150,0.3)\). Use a Normal approximation with a continuity correction to estimate \(P(X\le40)\), and state the parameters of the approximating distribution.
How to use this Year 13 conditional probability and the Normal distribution test
First, revise with the conditional probability and the Normal distribution lesson and the worksheet. Then sit the test in one go, with a timer set to 40 minutes. After that, mark your work with the conditional probability and the Normal distribution test answers. If you lose marks on a question, redo it the next day without help.
Finally, you can download this Year 13 conditional probability and the Normal distribution test as a PDF and print it like a real exam paper. Moreover, all the pages of this chapter work together, so you can move between them at any time. For example, many pupils read the lesson on Monday, practise on Wednesday and test themselves on Friday.


















