ENGLISH

Practical Business Statistics

By Maria Catherine Borres (author)

Book information

Publisher
Society Publishing
Year
2019
ISBN
1774072513, 9781774072516
Language
english
Format
PDF
Filesize
9 MB (9488635 bytes)
Pages
290\220
Time added
2021-07-08 06:33:23

Description

Practical Business Statistics explains the subject of statistics and the role it plays in the businesses and also talks about the process of data mining and big data in this field. The book discusses the various aspects related to data structure and explains the distribution of data on a histogram to the readers. The book further throws light on the concept of variability and data and the use of probability in the businesses. Also discussed in the book is the concept on uncertainty of numbers in the businesses, giving an overview of the random variables, the concept of confidence interval, the explanation of hypothesis testing and regression analysis and the role of report writing in the proper communication of the results so that the readers get a full insight on the various aspects of statistics in businesses. Cover Title Page Copyright ABOUT THE AUTHOR TABLE OF CONTENTS List of Figures List of Abbreviations Chapter 1 Statistics and Its Role in Businesses 1.1. Introduction 1.2. Characteristics of Statistics 1.3. Types of Statistics 1.4. Role of Statistics in Business 1.5. Research and Development Review Questions: References Chapter 2 Data Mining and Big Data 2.1. Introduction 2.2. Role of Data Mining In Practical Business Statistics 2.3. Big Data and Practical Business Statistics 2.4. Current Trends in the Usage of Data Mining and Big Data In Practical Business Statistics 2.5. Issues in the Usage of Big Data and Data Mining in Practical Business Statistics Review Questions: References Chapter 3 Data Structure 3.1. Introduction 3.2. Definition of a Data Structure and Algorithms 3.3. Characteristics of Data Structures 3.4. Types of Data Structures Preface 3.5. What is Variability? 3.6. Variability In Business Processes: Automatically Obtaining A Generic Specification 3.7. What Is Data Collection? Review Questions: References Chapter 4 Distribution of Data: Histogram 4.1. Introduction 4.2. Histogram 4.3. Application of Histogram In Business Review Questions: References Chapter 5 Variability and Data in Business 5.1. Introduction 5.2. Significance And Properties of Measuring Variation 5.3. Measuring Spread Using Standard Deviation 5.4. The Standard Deviation And Its Interpretation 5.5. The Range: Quick And Superficial 5.6. The Coefficient of Variation A Relative Variability Measure 5.7. Types of Variability In Samples Review Questions References Chapter 6 Probability: The Occurrences In Businesses 6.1. Introduction To Probability 6.2. Probability 6.3. Bayes’ Theorem 6.4. Discrete Random Variables 6.5. Simulation Review Questions References Chapter 7 Uncertain Numbers In The Business: Random Variables 7.1. Introduction 7.2. Decisions With Uncertain Numbers 7.3. Basics of Uncertain Numbers For Data Science In Business 7.4. Random Variables 7.5. Discount Rate In Company Valuation With Random Variables Review Questions: References Chapter 8 Confidence Interval: The Estimations 8.1. Introduction 8.2. The Confidence Limits 8.3. The Role of Confidence Intervals In Interpreting Results 8.4. Bootstrap Confidence Intervals For Measures of The Relationship Between Two Variables Review Questions: References Chapter 9 Hypothesis Testing And Regression Analysis 9.1. Introductiont 9.2. Uses of Hypothesis Tests 9.3. Null Hypothesis 9.4. Objectives of Simple Linear Regression 9.5. Different Roles In Linear Regression 9.6. Forecasting And Regression Review Questions: References Chapter 10 Report Writing: Communicating The Results 10.1. Introduction 10.2. What Is A Statistical Report? 10.3. Methods For Communicating Data 10.4. Suggestions In Report Writing 10.5. Conclusion Review Questions: References Index Back Cover

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