LEADER 00000cam  2200517Ii 4500 
001    on1117773317 
003    OCoLC 
005    20200419055745.4 
006    m     o  d         
007    cr cnu|||unuuu 
008    190910s2019    sz a    ob    000 0 eng d 
015    GBB9F7948|2bnb 
016 7  019508464|2Uk 
020    9783030034993|q(electronic book) 
020    3030034992|q(electronic book) 
020    |z9783030034986|q(print) 
024 7  10.1007/978-3-030-03499-3|2doi 
035    (OCoLC)1117773317 
037    com.springer.onix.9783030034993|bSpringer Nature 
040    GW5XE|beng|erda|epn|cGW5XE|dUKMGB|dOCLCF|dEBLCP|dESU
       |dOCLCQ 
049    STJJ 
050  4 QA276 
082 04 519.5|223 
100 1  Herzog, Michael H.,|eauthor. 
245 10 Understanding statistics and experimental design :|bhow to
       not lie with statistics /|cMichael H. Herzog, Gregory 
       Francis, Aaron Clarke. 
264  1 Cham, Switzerland :|bSpringer,|c2019. 
300    1 online resource (xi, 142 pages) :|billustrations (some 
       color). 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
490 1  Learning materials in biosciences,|x2509-6125 
504    Includes bibliographical references. 
505 0  Part I -- Basic Probability Theory -- Experimental Design 
       and the Basics of Statistics: Signal detection Theory 
       (SDT) -- The Core Concept of Statistics -- Variations on 
       the t-test -- PART II -- The Multiple Testing Problem -- 
       ANOVA -- Experimental design: Model Fits, Power, and 
       Complex Designs -- Correlation -- PART III -- Meta-
       analysis -- Understanding replication -- Magnitude of 
       excess success -- Suggested improvements and challenges. 
506 0  Open access.|5GW5XE 
520    This open access textbook provides the background needed 
       to correctly use, interpret and understand statistics and 
       statistical data in diverse settings. Part I makes key 
       concepts in statistics readily clear. Parts I and II give 
       an overview of the most common tests (t-test, ANOVA, 
       correlations) and work out their statistical principles. 
       Part III provides insight into meta-statistics (statistics
       of statistics) and demonstrates why experiments often do 
       not replicate. Finally, the textbook shows how complex 
       statistics can be avoided by using clever experimental 
       design. Both non-scientists and students in Biology, 
       Biomedicine and Engineering will benefit from the book by 
       learning the statistical basis of scientific claims and by
       discovering ways to evaluate the quality of scientific 
       reports in academic journals and news outlets. 
588 0  Online resource; title from PDF title page (SpringerLink, 
       viewed September 10, 2019). 
590    SpringerLink|bSpringer Nature Open Access eBooks 
650  0 Mathematical statistics. 
650  7 Mathematical statistics.|2fast|0(OCoLC)fst01012127 
700 1  Francis, Gregory|q(Gregory S.),|eauthor. 
700 1  Clarke, Aaron,|eauthor. 
830  0 Learning materials in biosciences.|x2509-6125 
914    on1117773317 
994    92|bSTJ