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Zar’s Biostatistical Analysis, Fifth Edition, is the ideal book for readers seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw conclusions from biological research. The latest edition of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introduction for beginners and as a comprehensive reference book for biological researchers and other advanced users.
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Introduction; Populations and Samples; Measures of Central Tendency; Measures of Dispersion and Variability; Probabilities; The Normal Distribution; One-Sample Hypotheses; Two-Sample Hypotheses; Paired-Sample Hypotheses; Multisample Hypotheses: The Analysis of Variance; Multiple Comparisons; Two-Factor Analysis of Variance; Data Transformations; Multiway Factorial Analysis of Variance; Nested (Hierarchical) Analysis of Variance; Multivariate Analysis of Variance; Simple Linear Regression; Comparing Simple Linear Regression Equations; Simple Linear Correlation; Multiple Regression and Correlation; Polynomial Regression; Testing for Goodness of Fit; Contingency Tables; More on Dichotomous Variables; Testing for Randomness; Circular Distributions: Descriptive Statistics; Circular Distributions: Hypothesis Testing
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For all readers interested in biostatistics.
- Sales Rank: #421046 in Books
- Brand: Zar, Jerrold H.
- Published on: 2009-02-25
- Original language: English
- Number of items: 1
- Dimensions: 10.10" h x 2.20" w x 8.50" l, 3.95 pounds
- Binding: Hardcover
- 960 pages
From the Back Cover
Zar'sBiostatistical Analysis, Fifth Edition, is the ideal book for readers who seek practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze, and draw conclusions from biological research. The latest edition of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introduction for beginning students and as a comprehensive procedural reference for today's practitioners.
�
Introduction; Populations and Samples; Measures of Central Tendency; Measures of Dispersion and Variability; Probabilities; The Normal Distribution; One-Sample Hypotheses; Two-Sample Hypotheses; Paired-Sample Hypotheses; Multisample Hypotheses: The Analysis of Variance; Multiple Comparisons; Two-Factor Analysis of Variance; Data Transformations; Multiway Factorial Analysis of Variance; Nested (Hierarchical) Analysis of Variance; Multivariate Analysis of Variance; Simple Linear Regression; Comparing Simple Linear Regression Equations; Simple Linear Correlation; Multiple Regression and Correlation; Polynomial Regression; Testing for Goodness of Fit; Contingency Tables; More on Dichotomous Variables; Testing for Randomness; Circular Distributions: Descriptive Statistics; Circular Distributions: Hypothesis Testing
�
For all readers interested in biostatistics.
About the Author
Jerrold H. Zar received his undergraduate degree in Biological Sciences from Northern Illinois University in 1962. He later earned his M.S. and Ph.D. degrees in biology and zoology from the University of Illinois at Urbana-Champaign. Zar then returned to Northern Illinois University for 34 years to serve in a variety of capacities. He joined the faculty at NIU as an Assistant Professor in 1968 and quickly rose through the ranks of associate and full professor to become Chair of the Department of Biological Sciences in 1978. He served two terms as Chair of the Department and then, became the Vice Provost�for Graduate Studies and Research�and Dean of the Graduate School.� He�was a founder�of the Illinois Minority Graduate Incentive Program and the Illinois Consortium for Educational Opportunities Program, where he helped create and protect fellowship opportunities for minority graduate students at universities across the state. Zar is a member of 17 professional scientific societies, including being an elected fellow of the American Association for the Advancement of Science. His many research publications cover a range of topics, from statistical analysis to physiological adaptations of animals to their environment.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Zar's Biostatistical Analysis remains one of the best
By N. F. Laubscher
I have used Biostatistical analysis (2nd ed., 1984) as a constant reference in reports for clients in my consulting work. Not only for biostatistical applications but from everything from basic statistics to data mining apps. Since private consultants have to pay from their own pockets for books, I used it for 18 years until I recently thought 1984 sounds a bit ancient! I then invested in the new, 2010, 5th edition. I am not disappointed. It is a beautiful book with dependable methods, great explanations of some difficult topics. The footnotes are delightful as they contain wonderful historical information about the history of the subject, the people who were (and are) responsible for its development and much more. One of the main features is two chapters on circular statistics. This is where the data deal, for example, with wind directions. As is so well explained by Zar, this deals with data that do not have a true zero value. Who is to say that North should be taken as 0�? And 220� is not necessarily "larger" than 20�. So, if the USUAL average (or confidence interv als, etc.) is computed, the analyst may end with egg on his/her face (e.g. the average of 1� and 359� is 0� and NOT 180�!). I am not aware of any book at this level that covers this topic. The author deliberately chose to avoid recommending specific software but I am disappointed that it is not mentioned, for example where the chi-square test is discussed, that there is specific software that can compute the exact p-values for the chi-square test when the asymptotic conditions are not met. I also think that the author must think of removing most of the almost 200 pages of tables and replace that with some basics of data mining. Data are now so prolific, also in biosciences, that I think such an addition would be very useful. Biostatistical Analysis (5th Edition)
3 of 3 people found the following review helpful.
Excellent Book
By dd1804
Supplier: Prompt and received well ahead of schedule!
Book: This is a classic. Some stated that it was high level, but I didn't see it that way. He provides great examples with good details on the exact calculations. One should be able to perform all calculations with any usual calculator or spreadsheet. He does not delve into any derivations or higher level math such as derivatives and integrals. In fact, the entire book is very practical.
This book covers from Biostatistics approach which means that there is more dealing with the nonparametric side and more dealing with metrics for species, diseases, etc. not usually found in statistical texts. He covers that same areas as the usual texts, but adds better examples, detail calculations and includes good interpretations. The emphasis was more on "use" rather than subtle statistical basics for the methods.
One of the great features was inclusion of Circular Statistics, which to date his is the only one I've come across that actually provides great coverage of this area. This is not covered in any texts that I've owned, except the original works by Mardia. And the examples are very good in how to use and applications. This area is surprisingly encountered more often than not and is always overlooked. I would buy this book just for that section alone. In fact this approach solves a lot of those periodic, seasonal variation problems I ran across in industry.
Overall, he covers the usual stats, adds a lot of features (similarity, diversity, various indices, etc.), covers "random", added chapters on circular, added "intraclass correlation" which is also overlooked, and still covers the basic stats that all need to know. It's more like a "handbook" with great examples, and does not approach from a Math-Stat-Must Derive Foundation from Theorems. Sometimes all we want to do is solve the problem, understand the assumptions included in the method, and not dwell on deriving and interpreting or deriving from some high level, fundamental theorem. I've always hated "theorem-speak" where they provide 2 theorems, 5 corollaries, and then hand you a practical problem to solve (where the derivation of the connection between theory and application was "left to the student!" -- my major was not math; but in sciences sometimes you just need to use the methods correctly and do not need to carry all the deriviations. I think that when I see the methods in a rep. text, I found that I can usually trust the integrity of the authors. Past that point, I just need to apply the methods and not make mistakes.)
I started with 2nd ed, bought the 3rd and 4th. I don't see that the 5th offered much more than the 4th. And the price of the 4th (because the 5th is out there) is reasonable. This is one of the standard texts I keep in my library; I will be getting rid of some of those standard texts.
0 of 0 people found the following review helpful.
Excellent high-school level statistics text requiring only a basic background in Algebra-2/pre-Calculus
By CURE
The text is a bit dry, formulaic and encyclopedic - but thorough in what it covers with good examples and tables. It also requires minimal background in science and mathematics. I have used it as a reference to bone up on statistical inference and some of the basic methodology used in clinical trials, medicine and genetics.
Like: The price was just a couple of bucks - well worth it for a reference and much cheaper than the ink and paper used in an ink jet. Good for us old-timers who prefer written texts over ebooks.
Dislike: I personally prefer more sophisticated treatments that are more suitable for physics, physical sciences and engineering. I would not recommend purchasing the newest edition for which the cost increases by 100x.
It is well-suited for all levels of education and fields requiring only high-school algebra II/pre-calculus, and non-mathematically intensive areas, specifically in biology, health-science, nursing and/or medicine. It is also of value for business, economics, and as an aid for data analysis in general. It may be of some value as background material for information/communication theory, statistical mechanics/optics,etc.
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