03469nam 2200637 450 991015311700332120230803220245.01292037113electronic book9781282937119electronic book1292042046print9781292024042print(CKB)2550000001126535(SSID)ssj0001256757(PQKBManifestationID)12460469(PQKBTitleCode)TC0001256757(PQKBWorkID)11271860(PQKB)10307404(MiAaPQ)EBC5174138(MiAaPQ)EBC5175894(MiAaPQ)EBC5833675(MiAaPQ)EBC5139109(MiAaPQ)EBC6400957(Au-PeEL)EBL5139109(CaONFJC)MIL527198(OCoLC)1015881405(EXLCZ)99255000000112653520210323d2014 uy 0engurcn#nnn|||||txtrdacontentcrdamediacrrdacarrierBiostatistical analysis /Jerrold H. ZarFifth edition.Harlow, England :Pearson Education Limited,[2014]©20141 online resource (ii, 756 pages) illustrationsAlways learningIncludes index.1-292-02404-6 1-299-95947-4 Includes bibliographical references and index.1. Data: Types and Presentation -- 2. Populations and Samples -- 3. Measures of Central Tendency -- 4. Measures of Variability and Dispersion -- 5. Probabilities -- 6. The Normal Distribution -- 7. One-Sample Hypotheses -- 8. Two-Sample Hypotheses -- 9. Paired-Sample Hypotheses -- 10. Multisample Hypotheses and the Analysis of Variance --11. Multiple Comparisons -- 12. Two-Factor Analysis of Variance -- 13. Data Transformations -- 14. Multiway Factorial Analysis of Variance -- 15. Nested (Hierarchical) Analysis of Variance -- 16. Multivariate Analysis of Variance -- 17. Simple Linear Regression -- 18. Comparing Simple Linear Regression Equations -- 19. Simple Linear Correlation -- 20. Multiple Regression and Correlation -- 21. Polynomial Regression -- 22. Testing for Goodness of Fit -- 23. Contingency Tables -- 24. Dichotomous Variables -- 25. Testing for Randomness -- 26. Circular Distributions: Descriptive Statistics -- 27. Circular Distributions: Hypothesis Testing.Zar's Biostatistical Analysis, Fifth Edition, is the ideal textbook for graduate and undergraduate students 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 beginning students and as a comprehensive procedural reference for today's practitioners. This book is appropriate for a one- or two-semester, junior or graduate-level course in biostatistics, biometry, quantitative biology, or statistics, and assumes a prerequisite of algebra.Always learning.BiometryBiometry.570.15195Zar Jerrold H.1941-103500MiAaPQMiAaPQMiAaPQBOOK9910153117003321Biostatistical analysis281815UNINA