By Phillip I. Good, James W. Hardin
Uploader's Note: Ripped from Wiley Books Online.
Amazon hyperlink: http://www.amazon.com/Common-Errors-Statistics-Avoid-Them/dp/1118294394
Praise for universal error in information (and the right way to steer clear of Them)
"A very attractive and invaluable ebook for all who use information in any setting."
"Addresses well known error frequently made in info assortment and offers an necessary advisor to actual statistical research and reporting. The authors' emphasis on cautious perform, mixed with a spotlight at the improvement of recommendations, finds the genuine price of records whilst utilized adequately in any sector of research."
Common error in data (and easy methods to stay away from Them), Fourth variation offers a mathematically rigorous, but effortlessly available starting place in facts for knowledgeable readers in addition to scholars studying to layout and entire experiments, surveys, and medical trials.
Providing a constant point of coherency all through, the hugely readable Fourth version makes a speciality of debunking well known myths, examining universal errors, and teaching readers on tips on how to pick out the precise statistical strategy to tackle their particular activity. The authors commence with an advent to the most assets of errors and supply suggestions for averting them. next chapters define key tools and practices for actual research, reporting, and version development. The Fourth version good points newly extra themes, including:
* Baseline data
* Detecting fraud
* Linear regression as opposed to linear behavior
* Case regulate studies
* minimal reporting requirements
* Non-random samples
* The ebook concludes with a thesaurus that outlines keywords, and an intensive bibliography with numerous hundred citations directing readers to assets for additional study.
Presented in an easy-to-follow variety, universal blunders in statistics, Fourth variation is a superb ebook for college kids and execs in undefined, executive, medication, and the social sciences.
Read Online or Download Common Errors in Statistics (and How to Avoid Them) (4th Edition) PDF
Similar statistics books
Re-creation of a vintage advisor to Statistical functions within the Biomedical Sciences
In the decade, there were major adjustments within the manner information is included into biostatistical, clinical, and public overall healthiness examine. Addressing the necessity for a modernized remedy of those statistical functions, easy facts, Fourth version provides correct, updated assurance of study method utilizing cautious factors of easy statistics and the way they're used to deal with useful difficulties that come up within the clinical and public healthiness settings. via concise and easy-to-follow shows, readers will discover ways to interpret and view info by means of using universal statistical instruments, resembling sampling, random project, and survival analysis.
Continuing the culture of its predecessor, this new version outlines a radical dialogue of alternative different types of stories and publications readers in the course of the vital, comparable decision-making tactics corresponding to making a choice on what info is required and making plans the collections method. The publication equips readers with the information to hold out those practices by means of explaining a few of the forms of stories which are in most cases performed within the fields of clinical and public future health, and the way the extent of facts varies looking on the world of analysis. information screening and information access into statistical courses is defined and followed by means of illustrations of statistical analyses and graphs. extra beneficial properties of the Fourth variation include:* a brand new bankruptcy on info assortment that outlines the preliminary steps in making plans biomedical and public well-being experiences* a brand new bankruptcy on nonparametric information that features a dialogue and alertness of the signal attempt, the Wilcoxon Signed Rank attempt, and the Wilcoxon Rank Sum try and its dating to the Mann-Whitney U try out* An up-to-date advent to survival research that comes with the Kaplan Meier strategy for graphing the survival functionality and a short advent to assessments for evaluating survival features* Incorporation of recent statistical software program, resembling SAS, Stata, SPSS, and Minitab into the provided dialogue of knowledge research* up-to-date references on the finish of every chapter
Basic records, Fourth version is a perfect ebook for classes on biostatistics, medication, and public wellbeing and fitness on the upper-undergraduate and graduate degrees. it's also acceptable as a reference for researchers and practitioners who want to refresh their basic knowing of statistical suggestions.
This reasonably cheap paperback presents a short, basic review of facts to assist readers achieve a greater realizing of the way data paintings and the way to interpret them thoroughly. every one bankruptcy describes a unique statistical approach, starting from simple ideas like relevant tendency and describing distributions to extra complicated recommendations reminiscent of t assessments, regression, repeated measures ANOVA, and issue research.
In recent times, there were a variety and renewal of the statistics content material within the arithmetic curricula in lots of international locations via all university grade degrees from basic to secondary degrees. despite the fact that, no comparable recognition has been paid to the practise of arithmetic instructor to coach statistics at those degrees.
The assumption of the Gröbner foundation first seemed in a 1927 paper by means of F. S. Macaulay, who succeeded in making a combinatorial characterization of the Hilbert features of homogeneous beliefs of the polynomial ring. Later, the trendy definition of the Gröbner foundation used to be independently brought by means of Heisuke Hironaka in 1964 and Bruno Buchberger in 1965.
- Sample Size Determination and Power
- Methods of Social Research
- Applied Statistics for Engineers and Scientists
- The Economics of Business
- Discovering Statistics Using SAS
Additional info for Common Errors in Statistics (and How to Avoid Them) (4th Edition)
In the event that repeat angiography demonstrates restenosis in association with objective evidence of recurrent ischemia between zero and six months, that angiogram will be analyzed as the follow-up angiogram. An angiogram performed for any reason that does not show restenosis will qualify as a follow-up angiogram only if it is performed at least four months after the index intervention. 36 PART I FOUNDATIONS In some cases, recurrent ischemia may develop within 14 days after the procedure. ” Now, that is comprehensive, isn’t it?
All you have to do is lie. Just recognize that if you test an after-the-fact hypothesis without identifying it as such, you are guilty of scientiﬁc fraud. When you design an experiment, decide at the same time whether you wish to test your hypothesis against a two-sided or a one-sided alternative. A two-sided alternative dictates a two-tailed test; a one-sided alternative dictates a one-tailed test. As an example, suppose we decide to do a follow-on study of the cancer registry to conﬁrm our original ﬁnding that men diagnosed as having tumors live signiﬁcantly longer than women similarly diagnosed.
Large-scale clinical trials and surveys have a further burden: the subjects themselves. Potential subjects can and do refuse to participate. 5). 5. A Typical Clinical Trial. Dropouts and non-compliant patients occur at every stage. Reprinted from Good, The Manager’s Guide to Design and Conduct of Clinical Trials, Second Edition, Copyright 2006, with the permission of John Wiley & Sons, Inc. 44 PART I FOUNDATIONS do not bother to show up for an appointment. Thirty percent of the patients who had received a life-saving cardiac procedure failed to follow up with their physician.
Common Errors in Statistics (and How to Avoid Them) (4th Edition) by Phillip I. Good, James W. Hardin