The cartoon introduction to statistics
(Graphic Novel)
A journey into the world of big data introduces the methods used to produce numerical information with accessible coverage of such foundational concepts as sample sizes, standard deviation calculations, and the central limit theorem.
Notes
Klein, G., & Dabney, A. (2013). The cartoon introduction to statistics. First edition. New York, Hill and Wang, a Division of Farrar, Straus and Giroux.
Chicago / Turabian - Author Date Citation (style guide)Klein, Grady and Alan Dabney. 2013. The Cartoon Introduction to Statistics. New York, Hill and Wang, a Division of Farrar, Straus and Giroux.
Chicago / Turabian - Humanities Citation (style guide)Klein, Grady and Alan Dabney, The Cartoon Introduction to Statistics. New York, Hill and Wang, a Division of Farrar, Straus and Giroux, 2013.
MLA Citation (style guide)Klein, Grady. and Alan Dabney. The Cartoon Introduction to Statistics. First edition. New York, Hill and Wang, a Division of Farrar, Straus and Giroux, 2013.
Record Information
Last Sierra Extract Time | Mar 21, 2024 06:24:34 PM |
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Last File Modification Time | Mar 21, 2024 06:24:46 PM |
Last Grouped Work Modification Time | Mar 21, 2024 06:24:41 PM |
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245 | 1 | 4 | |a The cartoon introduction to statistics /|c by Grady Klein and Alan Dabney, Ph. D. |
250 | |a First edition. | ||
264 | 1 | |a New York :|b Hill and Wang, a Division of Farrar, Straus and Giroux,|c 2013. | |
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505 | 0 | 0 | |t Introduction : they're everywhere... --|t Gathering statistics.|t Numbers ;|t Random raw data ;|t Sorting ;|t Detective work ;|t Monster mistakes ;|t From samples to populations --|t Hunting parameters.|t Central limit theorem ;|t Probabilities ;|t Inference ;|t Confidence ;|t They hate us ;|t Hypothesis testing ;|t Smackdown ;|t Flying pigs, drooling aliens, and firecrackers --|t Conclusion: thinking like a statistician --|t Appendix: the math cave. |
520 | |a A journey into the world of big data introduces the methods used to produce numerical information with accessible coverage of such foundational concepts as sample sizes, standard deviation calculations, and the central limit theorem. | ||
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