Introductory Statistics for Biology Stud
β T. A. Watt (auth.)
π Library
π
1993
π Springer US
π English
β¦ LIBER β¦
π
Introductory Statistics for Biology Students
β Scribed by T. A. Watt (auth.)
- Publisher
- Springer US
- Year
- 1997
- Tongue
- English
- Leaves
- 248
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content:
Front Matter....Pages i-xv
How long is a worm?....Pages 1-17
Confidence intervals, computers and comparisons....Pages 18-41
Sampling....Pages 42-54
Planning an experiment....Pages 55-66
Accounting for background variation and constructing a model....Pages 67-78
Analysing your results β Is there anything there?....Pages 79-97
Consider the treatments of the field....Pages 98-120
Relating one thing to another....Pages 121-151
What to do when data are skewed, or are ranks or scores, or are counts in categories....Pages 152-171
Summarizing data from an observational study....Pages 172-185
Your project....Pages 186-201
Preparing a report β Whatβs it all for?....Pages 202-212
Back Matter....Pages 213-236
π SIMILAR VOLUMES
Answering questions with data: Introduct
β Matthew J. C. Crump
π Library
π
2018
π Independent
π English
About the Book Link: https://crumplab.github.io/statistics/ This is a free textbook teaching introductory statistics for undergraduates in Psychology. This textbook is part of a larger OER course package for teaching undergraduate statistics in Psychology, including this textbook, a lab manua
π Library
π English
Introductory Algebra for College Student
β Robert F. Blitzer
π Library
π
2012
π Pearson
π English
Using R for Introductory Statistics
β John Verzani
π Library
π
2004
π Chapman and Hall/CRC
π English
The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its cohere
Using R for Introductory Statistics
β John Verzani
π Library
π
2004
π Chapman and Hall/CRC
π English
The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its cohere