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Introduction To Business Statistics Through R Software

Om Introduction To Business Statistics Through R Software

Statistical methods are now widely used in different fields such as Business and Management, Economics, Biological, Physical sciences and including the new fields such as Data Science and Machine Learning. The data which form the basis for the statistical methods helps us to take scientific and informed decisions. Statistical methods deal with the collection, compilation, analysis and making inference from the data. This book deals with the statistical methods which are useful in Business and Management decision making. The methods include Probability, Sampling, Correlation, Regression and Hypothesis Testing, Time Series, Forecasting and Non-Parametric tests and advanced statistical models. The book uses open source R statistical software to carry out different statistical analysis with sample datasets. This book is third in series of Statistics books by the Author. Some of the contents are adopted from the author's previous statistical book introduction to statistical methods and non-parametric methods.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9798223254966
  • Bindende:
  • Paperback
  • Sider:
  • 130
  • Utgitt:
  • 2. juli 2023
  • Dimensjoner:
  • 140x8x216 mm.
  • Vekt:
  • 174 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 23. november 2024

Beskrivelse av Introduction To Business Statistics Through R Software

Statistical methods are now widely used in different fields such as Business and Management, Economics, Biological, Physical sciences and including the new fields such as Data Science and Machine Learning. The data which form the basis for the statistical methods helps us to take scientific and informed decisions. Statistical methods deal with the collection, compilation, analysis and making inference from the data.
This book deals with the statistical methods which are useful in Business and Management decision making. The methods include Probability, Sampling, Correlation, Regression and Hypothesis Testing, Time Series, Forecasting and Non-Parametric tests and advanced statistical models. The book uses open source R statistical software to carry out different statistical analysis with sample datasets.
This book is third in series of Statistics books by the Author. Some of the contents are adopted from the author's previous statistical book introduction to statistical methods and non-parametric methods.

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