Abante, Marmelo V.,
Managerial statistics : data - driven decision making for business success / Marmelo V. Abante, PhD, DBA, Rene Boy R. Bacay, DBA, DPA, Erika F. Bacay, MBA. - Intramuros, Manila : Mindshapers Co., Inc., c2025. - viii,165 pages ; 25.3 cm.
Includes bibliographical references.
Contents: Chapter 1 Introduction to business statistics — Chapter 2 The role of statistics — Chapter 3 Probability — Chapter 4 Probability distribution — Chapter 5 Hypothesis testing — Chapter 6 Paired t-test — Chapter 7 Regression — Chapter 8 Analysis of variance (ANOVA) — Chapter 9 Analysis of variance (ANOVA) — References.
"In the contemporary data-centric environment, the capacity to comprehend, evaluate, and interpret data is crucial for achievement across multiple fields. The utilization of statistical tools in business, economics, healthcare, engineering, and social sciences enables individuals to make informed judgments and extract significant insights from intricate information. The textbook, Managerial Statistics, is intended as a thorough resource for undergraduate and graduate students, providing them with the fundamental statistical tools and procedures necessary to operate in the evolving and increasingly quantitative environment of contemporary enterprises.
The book offers a comprehensive examination of fundamental statistical principles, presenting an equilibrium of theoretical notions and practical applications. Students will be acquainted with essential subjects including descriptive and inferential statistics, probability theory, hypothesis testing, regression analysis, and data visualization. Each chapter is systematically organized to offer lucid explanations, sequential techniques, practical examples, and case studies that demonstrate the application of statistical principles in decision-making processes.
This textbook is characterized by its focus on practical applications in business and management settings. The material corresponds with modern industry standards, addressing subjects such as data-driven decision-making, business analytics, risk evaluation, and quality assurance. Furthermore, the incorporation of contemporary software tools and technologies guarantees that students acquire practical experience with statistical applications pertinent to the current digital economy.
As students advance through the chapters, they will face several activities, self-assessment exams, and critical thinking questions intended to consolidate their comprehension and promote analytical reasoning. The book examines prevalent obstacles in statistical analysis, including data quality concerns, ethical issues in data gathering, and the interpretation of statistical outcomes in ambiguous contexts.
This textbook acknowledges the interdisciplinary character of statistics and is designed for a varied readership, including students in business administration, economics, information technology, and public administration. The information is delivered in an approachable format for novices, while providing sophisticated insights for graduate students pursuing a comprehensive understanding of statistical approaches." —Preface
Adult
Text in English
9786214064168 [paperback]
Commercial statistics.
Decision making--Statistical methods.
Industrial management--Statistical methods.
Managerial statistics : data - driven decision making for business success / Marmelo V. Abante, PhD, DBA, Rene Boy R. Bacay, DBA, DPA, Erika F. Bacay, MBA. - Intramuros, Manila : Mindshapers Co., Inc., c2025. - viii,165 pages ; 25.3 cm.
Includes bibliographical references.
Contents: Chapter 1 Introduction to business statistics — Chapter 2 The role of statistics — Chapter 3 Probability — Chapter 4 Probability distribution — Chapter 5 Hypothesis testing — Chapter 6 Paired t-test — Chapter 7 Regression — Chapter 8 Analysis of variance (ANOVA) — Chapter 9 Analysis of variance (ANOVA) — References.
"In the contemporary data-centric environment, the capacity to comprehend, evaluate, and interpret data is crucial for achievement across multiple fields. The utilization of statistical tools in business, economics, healthcare, engineering, and social sciences enables individuals to make informed judgments and extract significant insights from intricate information. The textbook, Managerial Statistics, is intended as a thorough resource for undergraduate and graduate students, providing them with the fundamental statistical tools and procedures necessary to operate in the evolving and increasingly quantitative environment of contemporary enterprises.
The book offers a comprehensive examination of fundamental statistical principles, presenting an equilibrium of theoretical notions and practical applications. Students will be acquainted with essential subjects including descriptive and inferential statistics, probability theory, hypothesis testing, regression analysis, and data visualization. Each chapter is systematically organized to offer lucid explanations, sequential techniques, practical examples, and case studies that demonstrate the application of statistical principles in decision-making processes.
This textbook is characterized by its focus on practical applications in business and management settings. The material corresponds with modern industry standards, addressing subjects such as data-driven decision-making, business analytics, risk evaluation, and quality assurance. Furthermore, the incorporation of contemporary software tools and technologies guarantees that students acquire practical experience with statistical applications pertinent to the current digital economy.
As students advance through the chapters, they will face several activities, self-assessment exams, and critical thinking questions intended to consolidate their comprehension and promote analytical reasoning. The book examines prevalent obstacles in statistical analysis, including data quality concerns, ethical issues in data gathering, and the interpretation of statistical outcomes in ambiguous contexts.
This textbook acknowledges the interdisciplinary character of statistics and is designed for a varied readership, including students in business administration, economics, information technology, and public administration. The information is delivered in an approachable format for novices, while providing sophisticated insights for graduate students pursuing a comprehensive understanding of statistical approaches." —Preface
Adult
Text in English
9786214064168 [paperback]
Commercial statistics.
Decision making--Statistical methods.
Industrial management--Statistical methods.