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Statistics for Business

Autor Perumal Mariappan
en Limba Engleză Hardback – 4 iun 2019
Statistics for Business is meant as a textbook for students in business, computer science, bioengineering, environmental technology, and mathematics. In recent years, business statistics is used widely for decision making in business endeavours. It emphasizes statistical applications, statistical model building, and determining the manual solution methods.
Special Features:
This text is prepared based on "self-taught" method.
  • For most of the methods, the required algorithm is clearly explained using flow-charting methodology.
  • More than 200 solved problems provided.
  • More than 175 end-of-chapter exercises with answers are provided.
  • This allows teachers ample flexibility in adopting the textbook to their individual class plans.
This textbook is meant to for beginners and advanced learners as a text in Statistics for Business or Applied Statistics for undergraduate and graduate students.
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Specificații

ISBN-13: 9781138336179
ISBN-10: 1138336173
Pagini: 372
Ilustrații: 272 Tables, black and white; 61 Illustrations, black and white
Dimensiuni: 178 x 254 x 25 mm
Greutate: 0.82 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC

Cuprins

1. Introduction to Statistics and Its Business Applications 2. Data Structures, Data Sources, and Data Collection 3. Data Presentation 4. Measures of Central Tendency (MCT) 5. Dispersion 6. Skewness, Moments, and Kurtosis 7. Correlation and Regression Analysis 8. Probability 9. Random Variables and Expectation 10. Discrete Probability Distribution: Binomial and Poisson Distributions 11. Continuous Probability Distribution: Normal Distribution 12. Theory of Sampling 13. Hypothesis Testing, Parametric Tests, Distribution Tests, and Tests of Significance Appendix A: Answers to Exercise Problems Appendix B: ST Statistical Tables

Descriere

This Business Statistics book has been contrived to serve as a textbook for students in business, computer science, bio-engineering, environmental technology and mathematics. It emphasizes statistical applications, statistical model building and determining manual methods of solution.