- Thread starter Pulpmis
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If you decide to deepen your knowledge, this relatively concise and non-repetitive literature list on statistics, probability and their applications may help (read just the 2nd half of the linked page, called "Textbooks for independent study"; l you do not have to read the rest).

If you are also looking for a general entry-level book, I have been recommending,

The Art of Statistics, by Don Spielhalter.

It introduces fundamentals such as bias-variance tradeoff, models, estimates, multiple comparisons and Bayesian analyses. It also includes anecdotal examples and references to frame the concepts.

The Art of Statistics, by Don Spielhalter.

It introduces fundamentals such as bias-variance tradeoff, models, estimates, multiple comparisons and Bayesian analyses. It also includes anecdotal examples and references to frame the concepts.

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Feller's "Introduction to Probability" is great for its completeness and expository style, but I don't like the exercises much. And the exposition would not make it so good for a reference. He tends to have a lot of long examples, which is great for fostering understanding, and not so great for looking things up.

I enjoyed Allan Gut's "An Intermediate Course in Probability". There is some overlap with Feller, but it goes into greater depth on those topics. He covers the various transformations, order statistics (which, if I recall, Feller only does by example).

Ross' Introduction to Probability Models is pretty comprehensive, but it is very example oriented. Again, that is not my favorite style (I'd rather they saved those examples for exercises with hints, and kept them out of the main flow), but if it works for you, I can recommend it.

You might as well consider Cacoullos' "Exercises in Probability" and Mosteller's "50 Challenging Exercises in Probability".