MARC details
| 000 -LEADER |
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| fixed length control field |
02350nam a2200265 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
42645 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
0000000000 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240411193054.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
210726n s 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
978-3-030-03498-6 |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
2509-6125 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Herzog, Michael H. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Understanding statistics and experimental design : |
| Medium |
[electronic resource] |
| Remainder of title |
how to not lie with statistics / |
| Statement of responsibility, etc. |
Michael H. Herzog; Gregory Francis; Aaron Clarke. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cham, Switzerland : |
| Name of publisher, distributor, etc. |
Springer, |
| Date of publication, distribution, etc. |
2019. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (xi, 142 pages) : |
| Other physical details |
illustrations (some color). |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Learning materials in biosciences |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
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. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
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. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Mathematical statistics. |
| Source of heading or term |
sears |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Clarke, Aaron |
| Relator term |
Author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Francis, Gregory |
| Relator term |
Author. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://drive.google.com/file/d/1HpYhtcZ4GGZr-1hWxhP6-wU8ixsgxnpn/view?usp=sharing">https://drive.google.com/file/d/1HpYhtcZ4GGZr-1hWxhP6-wU8ixsgxnpn/view?usp=sharing</a> |
