Practical Business Statistics

✍ Scribed by Maria Catherine Borres (author)

• Publisher: Society Publishing
• Year: 2019
• Tongue: English
• Leaves: 220
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

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