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Statistics for Scientists A Concise Guide for Data-driven Research /

This book offers researchers and practitioners a concise and accessible guide to the essential concepts in statistics, emphasizing their proper application. It encourages readers to delve deeper into the fascinating field of statistics, a branch of mathematics that enhances our understanding of the...

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Autore principale: Michelucci, Umberto (Autore)
Ente Autore: SpringerLink (Online service)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edizione:1st ed. 2025.
Soggetti:
Mathematical statistics > Data processing.
Computer science > Mathematics.
Mathematical statistics.
Statistics .
Statistics and Computing.
Probability and Statistics in Computer Science.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Accesso online:https://doi.org/10.1007/978-3-031-78147-6
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Sommario:
  • Introduction to Statistics
  • Types of Data
  • Data Collection Methods (Sampling Theory)
  • Measures of Central Tendency
  • Measures of Dispersion
  • Measures of Positions
  • Outliers
  • Introduction to Distributions
  • Skewness, Kurtosis and Modality
  • Data Visualisation
  • Confidence Intervals
  • Hypothesis Testing
  • Correlation and Linear Regression
  • Statistical Project - Steps and Process
  • Appendix A - Partioning of the Ordinary Least Square Variance
  • Appendix B - Big-O and Little-o Notation.

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