This is a book on the understanding of statistical concepts. If you have no knowledge, you will receive basic knowledge, without having to worry much about mathematics. And if you already know something about statistical methods, you will get a better understanding of the ideas behind them. All basic concepts are discussed in detail and illustrated with examples. Learn more about error margins, analysis of variance, significance, confidence intervals, bootstrap, regression, analysis of scale data, variance components and other concepts. All simply explained and illustrated with examples.
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- Lots of figures – with quality and without
- More or less probable
- Dependence and independence
- My first confidence interval
- Location and dispersion in theory and practice
- A useful root
- Completely normal and almost normal
- Within the error margin
- Pure juridical matters
- Some old classics
- Comparing two cases
- One sided or two sided
- It depends
- Analysis of variance
- And analysis of variances
- Now and then or here and there
- Generalised linear models
- To measure the almost non-measurable
- Like a starry sky
- All these ranks
- Simulation, imputation and elimination
Very good for practical application.