plumiExponential and Poisson distributions: Edexcel A‑Level Statistics questions
Every Edexcel A-Level Statistics exam question on B.18 Exponential and Poisson distributions, 2018–2025, with its mark scheme and examiner’s report.
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All 9 questions on Exponential and Poisson distributions, as a list
- June 2025, Statistics in Practice, Q1 (8 marks): 1 A study in 2021 investigated the number of hail days in a large European area covering Germany, France, Belgium and Luxembourg. A hail day was defined as one
- June 2024, Data and Probability, Q7 (12 marks): 7 The Poisson distribution is considered a suitable model for the occurrence of major earthquakes. Harriet models the number of worldwide major earthquakes, occ
- June 2023, Data and Probability, Q4 (15 marks): 4 A video game is being created by a game developer. In the game, zombies are spawned into the game at random (a zombie will appear in the game at random). Zomb
- June 2022, Data and Probability, Q6 (5 marks): 6 Caroline runs a hairdressing salon in London. She reads the following article. How much hair loss is normal in a day According to the American Academy of Derm
- June 2022, Statistics in Practice, Q4 (14 marks): 4 Petra is an engineer who works on an offshore wind farm. Petra organises the repairs of wind turbines that fail. The wind farm contract states that wind turbi
- November 2021, Data and Probability, Q6 (12 marks): 6 Yasmine is investigating the effectiveness of some home cures for hiccups, such as drinking water, being startled, or biting on a lemon. She plans to run 500
- November 2020, Data and Probability, Q2 (6 marks): 2 For each of the random variables identified in part (a) and part (b) decide which one of the following best applies. • The Poisson distribution is a suitable
- June 2019, Data and Probability, Q3 (19 marks): 3 Rhodri is a web analyst working for Wikipedia. He has been told that articles on Wikipedia that do not trend have an approximately constant rate of page views
- June 2019, Statistics in Practice, Q4 (13 marks): 4 Following the Fukushima Daiichi nuclear power plant disaster in 2010, a group of scientists studied radiation shielding. Before they started testing radiation
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