An Introduction to Statistics with Python With Applications in the Life Sciences
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working cod...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2016, 2016
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| Edition: | 1st ed. 2016 |
| Series: | Statistics and Computing
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Part I: Python and Statistics
- Why Statistics?
- Python
- Data Input
- Display of Statistical Data
- Part II: Distributions and Hypothesis Tests
- Background
- Distributions of One Variable
- Hypothesis Tests
- Tests of Means of Numerical Data
- Tests on Categorical Data
- Analysis of Survival Times
- Part III: Statistical Modelling
- Linear Regression Models
- Multivariate Data Analysis
- Tests on Discrete Data
- Bayesian Statistics
- Solutions
- Glossary
- Index