000			04203nam a22003497a 4500
003			OSt
005			20260904095734.0
008			260904b |||||||| |||| 00| 0 eng d
020			_a9786214064168 [paperback]
040			_aUniversity of Cebu-Banilad _cUniversity of Cebu-Banilad
100			_aAbante, Marmelo V., _eauthor.
245			_aManagerial statistics : _bdata - driven decision making for business success / _cMarmelo V. Abante, PhD, DBA, Rene Boy R. Bacay, DBA, DPA, Erika F. Bacay, MBA.
260			_aIntramuros, Manila : _bMindshapers Co., Inc., _cc2025.
300			_aviii,165 pages ; _c25.3 cm.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
504			_aIncludes bibliographical references.
505			_aContents: 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.
520			_a"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
521			_aAdult
541			_aPurchased _xBiore, Christopher _yCollege of Business and Accountancy _zBusiness / Management
546			_aText in English
650			_aCommercial statistics.
650			_aDecision making _xStatistical methods.
650			_aIndustrial management _xStatistical methods.
700			_aBacay, Rene Boy R., _eauthor.
700			_aBacay, Erika F., _eauthor.
942			_2ddc _cFIL
998			_cGian [new] _d09/04/2026
999			_c15639 _d15639