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A modern introduction to probability and statistics:
understanding why and how, F.M.Dekking, C.Kraaikamp, H.P.Lopuhaa,
L.E.Meester (Springer).
[1 copy in science library]
[1 copy borrowable from DJW]
[amazon].
Very clear presentation; chapters 1—9 all relevant.
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Probability and computing: randomized algorithms and probabilistic
analysis, M.Mitzenmacher and E.Upfal (Cambridge)
[amazon].
Chapters 1,2,7 are a brisk and well-written introduction to
probability. The rest of the book is fascinating and very relevant to
computer scientists.
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Probability via expectation, P.Whittle (Springer).
[3 copies in science library]
[amazon].
Idiosyncratic and very thoughtful.
Very readable introduction—see pages 1–20, 39–60.
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Probability and statistics by example: basic probability and
statistics,
Y.Suhov and M.Kelbert (Cambridge)
[amazon].
Thorough and dense to learn from, but does have a wealth of good exercises.
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Introduction to probability and statistics, published by Schaum's Outlines,
ISBN 978-0070380844
[amazon]
[1 copy in science library].
An introduction to probability suitable for first-year undergraduates.
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Probability Demystified by Allan G. Bluman, published by McGraw-Hill,
ISBN 978-0071445498
[amazon].
A good introduction to the basics with plenty of worked questions.
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Complete Advanced Level Mathematics—Statistics,
published by Nelson Thornes, ISBN 978-0748735600
[amazon].
A clear and straightforward guide to A-level probability and statistics.
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Books from which to revise calculus:
