Understanding Inferential Statistics From A for Significance Test to Z for Confidence Interval /
What actually is a p-value for? And what is a significant result? This book answers such questions by providing a compact introduction to inferential statistics. Our major focus is on the logic of inferential statistics and hypothesis testing: We cover the logic behind statistical tests, we then wal...
Gorde:
| Egile Nagusiak: | , |
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| Erakunde egilea: | |
| Formatua: | Baliabide elektronikoa eBook |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2023.
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| Edizioa: | 1st ed. 2023. |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/978-3-662-66786-6 |
| Etiketak: |
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Aurkibidea:
- Introduction and descriptive statistics
- Basics of inferential statistics 1: random variables
- Basics of inferential statistics 2: population and parameter estimation
- Hypothesis testing and significance
- Difference hypotheses with a maximum of two groups: t-tests. Confidence intervals
- Error types, effect size and power
- Single factor analysis of variance
- Multifactorial analysis of variance
- Analysis of variance with repeated measures
- Correlation hypotheses: Correlation and regression
- Concluding remarks.