Introduction to Statistics for Biology

Regular price €107.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Robin H. McCleery
A01=Tom Hart
A01=Trudy A. Watt
Analysing Genetic Data
ANOVA
ANOVA Table
Author_Robin H. McCleery
Author_Tom Hart
Author_Trudy A. Watt
biological data analysis
biology experiment
Category=PBT
Category=PDE
Category=PS
confidence intervals
Data Set
data simulation techniques
deviation
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
error
experimental methodology
Factor Type Levels Values
Fi Tte
Friedman's Test
Friedman’s Test
Hardy Weinberg Equilibrium
Hardy Weinberg Model
hypothesis
hypothesis testing methods
Kruskal Wallis Test
Likelihood Ratio Chi Square
linear regression
nonparametric statistics
Null Hypothesis
numbers
Pe R C
population
Population Standard Deviation
probability theory
Randomised Complete Block
Randomised Complete Block Design
Sample Standard Deviation
sampling
SE Fit Residual St Resid
source
Source DF SS MS
Sp Id
spider
Spider Numbers
standard
Standard Deviation
statistics
StDev SE
T-confidence Interval
Treatment F1
Trudy A. Watt
undergraduate statistics guide for biology
Vice Versa

Product details

  • ISBN 9781584886525
  • Weight: 710g
  • Dimensions: 156 x 234mm
  • Publication Date: 17 May 2007
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

Even though an understanding of experimental design and statistics is central to modern biology, undergraduate and graduate students studying biological subjects often lack confidence in their numerical abilities. Allaying the anxieties of students, Introduction to Statistics for Biology, Third Edition provides a painless introduction to the subject while demonstrating the importance of statistics in contemporary biological studies.

New to the Third Edition

  • More detailed explanation of the ideas of elementary probability to simplify the rationale behind hypothesis testing, before moving on to simple tests
  • An emphasis on experimental design and data simulation prior to performing an experiment
  • A general template for carrying out statistical tests from hypothesis to interpretation
  • Worked examples and updated Minitab analyses and graphics
  • Downloadable resources contains a free trial version of Minitab

    Using Minitab throughout to present practical examples, the authors emphasize the interpretation of computer output. With its nontechnical approach and practical advice, this student-friendly introductory text lays the foundation for the advanced study of statistical analysis.
  • Trudy A. Watt, Robin H. McCleery, Tom Hart

    More from this author