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Introduction to Statistical Data Analysis for the Life Sciences

Claus Thorn Ekstrom | Helle Sørensen
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A01=Claus Thorn Ekstrom
A01=Helle Sorensen
Ab Ilit
ANOVA Model
Author_Claus Thorn Ekstrom
Author_Helle Sorensen
biostatistics
Categorical Explanatory Variable
Category=PBT
Category=PS
Chi Square Test Statistic
chi-square test
conditional probabilities
Confidence Interval
confidence intervals
Cumulative Distribution Function
data analysis
data analysis in life sciences
data transformations
data visualisation
ELISA Experiment
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
experimental design
Exposure Time
hypothesis testing
hypothesis tests
independent trials model
inference methods
linear models
linear regression
logistic regression
Min 1Q Median 3Q Max
Model Formula
model validation
Multiple Linear Regression
Non-linear Regression Model
Null Hypothesis
Prediction Interval
R
R programming
Regression Model
Relative Frequencies
Relative Frequency Histograms
Residual Plot
Residual Standard Error
Sample Standard Deviation
Scatter Plot
Single Term Deletions
statistical analysis
statistical analysis for biological research
statistical computing
statistical models
Stearic Acid Level
Symmetry Score
TD

Product details

  • ISBN 9781482238938
  • Weight: 780g
  • Dimensions: 156 x 234mm
  • Publication Date: 06 Nov 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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Description

A Hands-On Approach to Teaching Introductory Statistics

Expanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This popular textbook covers the mathematics underlying classical statistical analysis, the modeling aspects of statistical analysis and the biological interpretation of results, and the application of statistical software in analyzing real-world problems and datasets.

New to the Second Edition

  • A new chapter on non-linear regression models
  • A new chapter that contains examples of complete data analyses, illustrating how a full-fledged statistical analysis is undertaken
  • Additional exercises in most chapters
  • A summary of statistical formulas related to the specific designs used to teach the statistical concepts

This text provides a computational toolbox that enables students to analyze real datasets and gain the confidence and skills to undertake more sophisticated analyses. Although accessible with any statistical software, the text encourages a reliance on R. For those new to R, an introduction to the software is available in an appendix. The book also includes end-of-chapter exercises as well as an entire chapter of case exercises that help students apply their knowledge to larger datasets and learn more about approaches specific to the life sciences.

About Claus Thorn Ekstrom | Helle Sorensen
Claus Thorn Ekstrom, Helle Sørensen

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