Introductory Statistics for Data Analysis (PDF)
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This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter estimation with confidence intervals, hypothesis testing, chi-square tests, t tests, and several non-parametric tests. Flow charts are frequently used to facilitate an understanding of the material considered. The examples and problems in the book all concern simple data sets which can be analyzed with a simple calculator; however, the R code required to complete many examples and problems is provided as well for those that are interested.
- Autoren: Warren J. Ewens , Katherine Brumberg
- 2023, 1st ed. 2023, 273 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3031281896
- ISBN-13: 9783031281891
- Erscheinungsdatum: 12.05.2023
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 3.60 MB
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