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  2. Tom Liggett, some brief reflections

    www.statslab.cam.ac.uk/~grg/papers/tml-proof.pdf
    3 Sep 2020: Few people were as involvedin all that as was Tom, and his name will always be associated with interacting particle systems.
  3. STATISTICS Part IBExample Sheet 2 (of 3) Lent 2020 ...

    www.statslab.cam.ac.uk/~sb2116/Statistics_IB/Qu2.pdf
    17 Feb 2020: 6. A random sample of 59 people from the planet Krypton yielded the results below.
  4. THE LOST BOARDING PASS,AND OTHER PRACTICAL PROBLEMS GEOFFREY R. ...

    www.statslab.cam.ac.uk/~grg/papers/lost-bp4.pdf
    29 Feb 2020: A line of n people board one by one. Each hasan assigned seat, but the first passenger (doubtless a mathematicianthinking of other things) has lost his or her boarding pass and ... A line of n people board one by one. Each has an assignedseat, but the
  5. 4. Lecture 5. Confidence Intervals Lecture 5. Confidence Intervals ...

    www.statslab.cam.ac.uk/~sb2116/Statistics_IB/slides/S1B-17-05-confidence-intervals.pdf
    4 Feb 2020: Suppose an opinion poll says 20% are going to vote UKIP, based on a randomsample of 1,000 people.
  6. 8. Lecture 9. Tests of goodness-of-fit and independence Lecture ...

    www.statslab.cam.ac.uk/~sb2116/Statistics_IB/slides/S1B-17-09-fit-independence.pdf
    4 Feb 2020: Example 9.4. 500 people with recent car changes were asked about their previous and new cars.New car.
  7. Harry Kesten (1931–2019) A personal and scientific tribute Geoffrey…

    www.statslab.cam.ac.uk/~grg/papers/kesten-ams3-small.pdf
    20 Mar 2020: posed. He was especially keen to discussand collaborate with younger people, and he playeda key role through his achievements and personalityin bringing them into the field. ... The authors are grateful to several people for theiradvice: Michael Kesten
  8. 15. Lecture 16. Linear model examples, and ’rules of ...

    www.statslab.cam.ac.uk/~sb2116/Statistics_IB/slides/S1B-17-16-linear-examples.pdf
    4 Feb 2020: For example, suppose we have given a drug to 100 people and none of themhave had a serious adverse reaction.

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