edward boone (13 Ergebnisse)

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: As New. A NEW COPY but with shelving/packing damage.minor corner bump. THIS BOOK IS A REPRODUCTION OF AN ORIGINAL WORK (the 1939 printing) WHICH IS IN THE PUBLIC DOMAIN IN THE UNITED STATES OF AMERICA, AND POSSIBLY OTHER COUNTRIES. MOST OF THESE WORKS WERE SCANNED FROM LIBRARY COPIES. IT MAY HAVE OCCASIONAL IMPERFECTIONS SUCH AS MISSING OR BLURRED PAGES, POOR PICTURES, ERRANT MARKS, ETC. THAT WERE EITHER PART OF THE ORIGINAL ARTIFACT, OR WERE INTRODUCED BY THE SCANNING PROCESS (this particular book appears to be quite a good reproduction).; 100% Satisfaction Guaranteed! Ships same or next business day!

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.01.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Brand New. 60 pages. 11.00x8.50x0.14 inches. In Stock.

Paperback. Zustand: Brand New. reprint edition. 223 pages. 9.25x6.10x0.53 inches. In Stock.

Hardcover. Zustand: Brand New. 223 pages. 9.25x6.25x0.50 inches. In Stock.

Gebunden. Zustand: New.

Taschenbuch. Zustand: Neu. Neuware -This textbook will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers. The text also allows for the concurrent use of the programming language R, which is an open-source program created, maintained and updated by the statistical community. R is freely available and easy to download.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 224 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers. The text also allows for the concurrent use of the programming language R, which is an open-source program created, maintained and updated by the statistical community. R is freely available and easy to download.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers. The text also allows for the concurrent use of the programming language R, which is an open-source program created, maintained and updated by the statistical community. R is freely available and easy to download.

folio. pp. xxiii, 568. 431 illus. (45 in b/w). cloth. dw. Published in Conjunction with an Exhibition.