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Statistics and experimental design : an introduction for biologists and biochemists / Geoffrey M. Clarke.

By: Material type: TextTextPublication details: London : E. Arnold ; New York : Halsted Press, 1994.Edition: 3rd edDescription: xiii, 208 p. : ill. ; 24 cmISBN:
  • 0340593245
  • 0470234091
  • 9780340593240:
Subject(s): DDC classification:
  • 519.5024574
Contents:
Natural variation and types of data -- Studying and summarising data graphically -- Numerical summaries of data -- Populations, samples and inferences -- Probability, the binomial and geometric distributions -- Poison distribution -- Normal distribution as a model for continuous data -- Significance tests for means: normal and student's t -- Confidence intervals for means -- Nonparametric tests for location -- Tests and estimates for variances -- Tests using the chi-squared distribution -- Correlation between two variables -- Fitting straight lines: linear regression.
Principles of experimental design: the completely randomised design -- Radomised blocks and the precision of results -- Simple factorial experiments -- Missing observations and non-normality -- Guide to choosing a significance test -- Student's t-distribution -- Values of the x² distribution -- Table of F-distribution -- Values of the correlation coefficient -- Values of Spearman's rank correlation coefficient -- Table of random digits -- Values of z, the standard normal variable.
List(s) this item appears in: CW108 BSc (Hons) Biocience with Biopharmaceuticals/Environmental Science/Brewing and Distilling/Pharmaceutics and Drug Formulation | CW117 BSc Biosciences | CW107 BSc Analytical Science
Holdings
Item type Current library Call number Copy number Status Date due Barcode
General Lending Carlow Campus Library General Lending 519.5024574 (Browse shelf(Opens below)) 1 Available 27529

CW107

CW117

CW108

CW168

Includes bibliographical references (p. [182]) and index.

Natural variation and types of data -- Studying and summarising data graphically -- Numerical summaries of data -- Populations, samples and inferences -- Probability, the binomial and geometric distributions -- Poison distribution -- Normal distribution as a model for continuous data -- Significance tests for means: normal and student's t -- Confidence intervals for means -- Nonparametric tests for location -- Tests and estimates for variances -- Tests using the chi-squared distribution -- Correlation between two variables -- Fitting straight lines: linear regression.

Principles of experimental design: the completely randomised design -- Radomised blocks and the precision of results -- Simple factorial experiments -- Missing observations and non-normality -- Guide to choosing a significance test -- Student's t-distribution -- Values of the x² distribution -- Table of F-distribution -- Values of the correlation coefficient -- Values of Spearman's rank correlation coefficient -- Table of random digits -- Values of z, the standard normal variable.

17.99

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