000			04029nam a22003257a 4500
003			OSt
005			20260902092957.0
008			260902b |||||||| |||| 00| 0 eng d
020			_a9786214272600 [newsprint]
040			_aUniversity of Cebu-Banilad _cUniversity of Cebu-Banilad
100			_aBairan, Bonifacio P., _eauthor.
245			_aBusiness statistics with probability concepts / _cDr. Bonifacio P. Bairan.
260			_aQuezon City : _bUnlimited Books Library Services & Publishing Inc., _cc2025.
300			_aviii, 237 pages : _billustrations (black & white) ; _c25.4 cm.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
504			_aIncludes bibliographical references.
505			_aContents: Preface — Introduction — Chapter 1 Basic concepts of statistics — Chapter 2 Data collection and quality — Chapter 3 Descriptive statistics — Chapter 4 Probability concepts — Chapter 5 Inferential statistics — Chapter 6 Regression analysis — Chapter 7 Time series analysis — Chapter 8 Non-parametric statistics — Chapter 9 Quality control and six sigma — Chapter 10 Business analytics and data mining — Bibliography.
520			_a"In today's data-driven business landscape, the ability to analyze and interpret vital discipline that empowers decision-makers with quantitative tools to make can gain insights that drive operational efficiencies, enhance customer satisfaction, choices. professionals and ultimately boost profitability. fundamental concepts of statistics and their practical application in business This textbook serves as a comprehensive guide for understanding the settings. We begin with a foundational overview of key statistical concepts, defining important terms, and discussing the significance of statistics in effective decision-making. Chapter 1 categorizes data into qualitative and quantitative types, explores measurement scales (nominal, ordinal, interval, and ratio), and distinguishes between descriptive and inferential statistics while clarifying the relationship between populations and samples. Chapter 2 emphasizes the significance of data collection methods in ensuring high-quality data, detailing techniques that enhance designing effective surveys. accuracy, completeness, consistency, and timeliness, as well as best practices for Chapter 3 focuses on descriptive statistics, highlighting various types of descriptive analysis and effective data visualization techniques for clear and impactful presentation. In Chapter 4, foundational probability concepts are introduced, covering essential principles, rules, and applications relevant to business statistics, including probability distributions, the Central Limit Theorem, and the Law of Large Numbers. Chapter 5 advances to inferential statistics, explaining estimation methods, hypothesis testing, and the critical roles of p-values and significance levels in validating decisions based on sample data. Moving forward, Chapter 6 discusses regression analysis, including simple and multiple regression techniques, with an emphasis on interpreting outputs for business applications. Chapter 7 presents time séries analysis, examining its components (trend, seasonality, cyclic patterns, and irregular fluctuations) and forecasting techniques such as moving averages and exponential smoothing to aid strategic planning. Chapter 8 covers non-parametric statistics, differentiating between parametric and non-parametric tests and introducing common tests like the Chi-Square Test and the Mann-Whitney U Test for non-normally distributed data." —Preface
521			_aAdult
541			_aPurchased _xBiore, Christopher _yCollege of Business and Accountancy _zBusiness / Management
546			_aText in English
650			_aCommercial statistics.
650			_aProbabilities.
650			_aDecision making _xStatistical methods.
942			_2ddc _cFIL
998			_cGian [new] _d09/02/2026
999			_c15630 _d15630