The Resource Statistics explained : an introductory guide for life scientists, Steve McKillup

# Statistics explained : an introductory guide for life scientists, Steve McKillup Resource Information The item Statistics explained : an introductory guide for life scientists, Steve McKillup represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.This item is available to borrow from 1 library branch.

Label
Statistics explained : an introductory guide for life scientists
Title
Statistics explained
Title remainder
an introductory guide for life scientists
Statement of responsibility
Steve McKillup
Creator
Author
Subject
Language
eng
Summary
Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. Hypothesis testing and experimental design are discussed first. Statistical tests are then explained using pictorial examples and a minimum of formulae. This class-tested approach, along with a well-structured set of diagnostic tables will give students the confidence to choose an appropriate test with which to analyse their own data sets. Presented in a lively and straight-forward manner, Statistics Explained will give readers the depth and background necessary to proceed to more advanced texts and applications. It will therefore be essential reading for all bioscience undergraduates, and will serve as a useful refresher course for more advanced students
Member of
UkCbUP
McKillup, Steve
Dewey number
570.1/5195
Index
index present
LC call number
QH323.5
LC item number
.M395 2006
Literary form
non fiction
Nature of contents
dictionaries
• Life sciences
• Statistics
Label
Statistics explained : an introductory guide for life scientists, Steve McKillup
Instantiates
Publication
Note
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Carrier category
online resource
Carrier category code
• cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
• txt
Content type MARC source
rdacontent
Contents
'Doing science'--hypotheses, experiments, and disproof -- Collecting and displaying data -- Introductory concepts of experimental design -- Probability helps you make a decision about your results -- Working from samples--data, populations, and statistics -- Normal distributions--tests for comparing the means of one and two samples -- Type 1 and type 2 errors, power, and sample size -- Single factor analysis of variance -- Multiple comparisons after ANOVA -- Two factor analysis of variance -- Important assumptions of analysis of variance: transformations and a test for equality of variances -- Two factor analysis of variance without replication, and nested analysis of variance -- Relationships between variables: linear correlation and linear regression -- Simple linear regression -- Non-parametric statistics -- Non-parametric tests for nominal scale data -- Non-parametric tests for ratio, interval, or ordinal scale data -- Choosing a test -- Doing science responsibly and ethically
Control code
CR9780511815935
Extent
1 online resource (xii, 267 pages)
Form of item
online
Isbn
9780511815935
Media category
computer
Media MARC source
rdamedia
Media type code
• c
Other physical details
digital, PDF file(s).
Specific material designation
remote
Label
Statistics explained : an introductory guide for life scientists, Steve McKillup
Publication
Note
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Carrier category
online resource
Carrier category code
• cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
• txt
Content type MARC source
rdacontent
Contents
'Doing science'--hypotheses, experiments, and disproof -- Collecting and displaying data -- Introductory concepts of experimental design -- Probability helps you make a decision about your results -- Working from samples--data, populations, and statistics -- Normal distributions--tests for comparing the means of one and two samples -- Type 1 and type 2 errors, power, and sample size -- Single factor analysis of variance -- Multiple comparisons after ANOVA -- Two factor analysis of variance -- Important assumptions of analysis of variance: transformations and a test for equality of variances -- Two factor analysis of variance without replication, and nested analysis of variance -- Relationships between variables: linear correlation and linear regression -- Simple linear regression -- Non-parametric statistics -- Non-parametric tests for nominal scale data -- Non-parametric tests for ratio, interval, or ordinal scale data -- Choosing a test -- Doing science responsibly and ethically
Control code
CR9780511815935
Extent
1 online resource (xii, 267 pages)
Form of item
online
Isbn
9780511815935
Media category
computer
Media MARC source
rdamedia
Media type code
• c
Other physical details
digital, PDF file(s).
Specific material designation
remote

#### Library Locations

• Available Online
Liverpool, GB