Essential Statistics for Bioscientists. Mohammed MeahЧитать онлайн книгу.
examples of common statistical tests.
4 Does not describe areas such as enzyme and substrate reactions (e.g. Scatchard plots), or non-linear curve fitting or multiple regression.
5 Helps in deciding the factors to consider for study designs.
6 Helps in choosing appropriate tests to analyse data and to display data.
The reader should be able to answer the following questions from the use of this book.
What:
Is your study design?
Sample size is appropriate?
Are the descriptive statistics appropriate for the sample data?
Is the difference between standard deviation and standard error of the mean?
Is a confidence interval?
Is a normal distribution?
Is significance and how do you test for it?
Is the interquartile range?
Is the difference between parametric and non-parametric tests?
How do you:
Graphically describe your data?
Plot a frequency distribution plot?
Check if the sample data is normally distributed?
Decide on which statistical test to use?
Do a paired (related groups) t test?
Do an unpaired (independent groups) t test?
Do a non-parametric test (Wilcoxon)?
Do a non-parametric test (Mann–Whitney)?
Do a 1-way ANOVA test?
Do a repeated measures 1-way ANOVA?
Do a 2-way ANOVA test?
Do a correlation test?
Use Microsoft Excel software to do statistical analysis?
Use SPSS software to do statistical analysis?
Use Prism software to do statistical analysis?
I hope the readers and users of this book will (a) get a better understanding of statistical concepts and (b) be able to use the software packages with more confidence and thereby aid them in their degree studies.
Mohammed Meah BSc MSc PhD FHEA
Senior Lecturer in Physiology
Course Leader for Medical Physiology and Human Biology
University of East London,
London
“It would be so nice if something made sense for a change.”
Lewis Carroll (1832–1898), English novelist. From the book Alice in Wonderland
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