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Applied Statistical Inference with MINITAB (R), Second Edition (Paperback, 2nd edition)
Loot Price: R1,483
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Applied Statistical Inference with MINITAB (R), Second Edition (Paperback, 2nd edition)
Expected to ship within 12 - 17 working days
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Praise for the first edition: "One of my biggest complaints when I
teach introductory statistics classes is that it takes me most of
the semester to get to the good stuff-inferential statistics. The
author manages to do this very quickly....if one were looking for a
book that efficiently covers basic statistical methodology and also
introduces statistical software [this text] fits the bill." -The
American Statistician Applied Statistical Inference with MINITAB,
Second Edition distinguishes itself from other introductory
statistics textbooks by focusing on the applications of statistics
without compromising mathematical rigor. It presents the material
in a seamless step-by-step approach so that readers are first
introduced to a topic, given the details of the underlying
mathematical foundations along with a detailed description of how
to interpret the findings, and are shown how to use the statistical
software program Minitab to perform the same analysis. Gives
readers a solid foundation in how to apply many different
statistical methods. MINITAB is fully integrated throughout the
text. Includes fully worked out examples so students can easily
follow the calculations. Presents many new topics such as one- and
two-sample variances, one- and two-sample Poisson rates, and more
nonparametric statistics. Features mostly new exercises as well as
the addition of Best Practices sections that describe some common
pitfalls and provide some practical advice on statistical
inference. This book is written to be user-friendly for students
and practitioners who are not experts in statistics, but who want
to gain a solid understanding of basic statistical inference. This
book is oriented towards the practical use of statistics. The
examples, discussions, and exercises are based on data and
scenarios that are common to students in their everyday lives.
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