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Statistics for business

Author: Perumal Mariappan
Publisher: Boca Raton, FL : CRC Press, 2019.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Mariappan, Perumal.
Statistics for business.
Boca Raton, FL : CRC Press, 2019
(DLC) 2019010834
(OCoLC)1090282598
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Perumal Mariappan
ISBN: 9780429443244 0429443242 9780429811494 0429811497 9780429811500 0429811500 9780429811487 0429811489
OCLC Number: 1102416803
Description: 1 online resource
Contents: 1. Introduction to Statistics and Its Business Applications2. Data Structures, Data Sources, and Data Collection3. Data Presentation4. Measures of Central Tendency (MCT) 5. Dispersion6. Skewness, Moments, and Kurtosis7. Correlation and Regression Analysis8. Probability9. Random Variables and Expectation10. Discrete Probability Distribution: Binomial and Poisson Distributions11. Continuous Probability Distribution: Normal Distribution12. Theory of Sampling13. Hypothesis Testing, Parametric Tests, Distribution Tests, and Testsof SignificanceAppendix A: Answers to Exercise ProblemsAppendix B: ST Statistical Tables
Responsibility: Perumal Mariappan.

Abstract:

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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