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Choosing and Using Statistics A Biologist's Guide

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ISBN-10: 1405198389

ISBN-13: 9781405198387

Edition: 3rd 2010 (Guide (Instructor's))

Authors: Calvin Dytham

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Book details

Edition: 3rd
Copyright year: 2010
Publisher: John Wiley & Sons, Limited
Publication date: 12/10/2010
Binding: Hardcover
Pages: 314
Size: 7.00" wide x 10.00" long x 1.00" tall
Weight: 1.848
Language: English

Uwe Flick is Professor of Qualitative Research in Social Science and Education at the Free University of Berlin, Germany. He is a trained psychologist and sociologist and received his PhD from the Free University of Berlin in 1988 and his Habilitation from the Technical University of Berlin in 1994. He has been Professor of Qualitative Research at Alice Salomon University of Applied Sciences in Berlin, Germany and at the University of Vienna, Austria, where he continues to work as Guest-Professor. Previously, he was Adjunct Professor at the Memorial University of Newfoundland in St. John's, Canada; a Lecturer in research me�thodology at the Free University of Berlin; a Reader and…    

Preface
Eight steps to successful data analysis
The basics
Observations
Hypothesis testing
P-values
Sampling
Experiments
Statistics
Choosing a test: a key
Remember: eight steps to successful data analysis
The art of choosing a test
A key to assist in your choice of statistical test
Hypothesis testing, sampling and experimental design
Hypothesis testing
Acceptable errors
P-values
Sampling
Experimental design
Statistics, variables and distributions
What are statistics?
Types of statistics
What is a variable?
Types of variables or scales of measurement
Types of distribution
Discrete distributions
Continuous distributions
Non-parametric 'distributions'
Descriptive and presentational techniques
General advice
Displaying data: summarizing a single variable
Displaying data: showing the distribution of a single variable
Descriptive statistics
Using the computer packages
Displaying data: summarizing two or more variables
Displaying data: comparing two variables
Displaying data: comparing more than two variables
The tests 1: tests to look at differences
Do frequency distributions differ?
Do the observations from two groups differ?
Do the observations from more than two groups differ?
There are two independent ways of classifying the data
More than one observation for each factor combination (with replication)
There are more than two independent ways to classify the data
Not all classifications are independent
Nested or hierarchical designs
The tests 2: tests to look at relationships
Is there a correlation or association between two variables?
Is there a cause-and-effect relationship between two variables?
Tests for more than two variables
The tests 3: tests for data exploration
Types of data
Observation, inspection and plotting
Symbols and letters used in statistics
Greek letters
Symbols
Upper-case letters
Lower-case letters
Glossary
Assumptions of the tests
Hints and tips
A table of statistical tests
Index