00839nam0-22002771i-450-990002566840403321000256684FED01000256684(Aleph)000256684FED0100025668420000920d1942----km-y0itay50------baENG<<The >>fundamental principles of mathematical statisticsHugh H. Wolfenden.New YorkActuarial Society of America1942.xv, 379 p.22 cmStatistica, Statisticateoria generale519Wolfenden,Hugh Herbert101912ITUNINARICAUNIMARCBK990002566840403321MXXIII-A-97045640MASMASFundamental principles of mathematical statistics44455UNINAING0112809nam 2200637 450 991015478310332120230807204806.01-292-06903-1(CKB)2670000000592860(MiAaPQ)EBC5174341(MiAaPQ)EBC5176665(MiAaPQ)EBC5832328(MiAaPQ)EBC5137313(MiAaPQ)EBC6399012(Au-PeEL)EBL5137313(OCoLC)1024285457(EXLCZ)99267000000059286020210320d2015 uy 0engurcnu||||||||rdacontentrdamediardacarrierBasic business statistics concepts and applications. /Mark L Berenson, David Levine, Kathryn A. SzabatThirteenth edition, global edition.Harlow, England :Pearson Education, Limited,[2015]©20151 online resource (840 pages) illustrationsAlways LearningIncludes index.1-292-06902-3 1-322-88312-2 Includes bibliographical references.Cover -- Title -- Copyright -- Contents -- Preface -- Getting Started: Important Things to Learn First -- USING STATISTICS: "You Cannot Escape from Data" -- GS.1 Statistics: A Way of Thinking -- GS.2 Data: What Is It? -- GS.3 Business Analytics: The Changing Face of Statistics -- "Big Data" -- Statistics: An Important Part of Your Business Education -- GS.4 Software and Statistics -- Excel and Minitab Guides -- REFERENCES -- KEY TERMS -- EXCEL GUIDE -- EG1. Getting Started with Microsoft Excel -- EG2. Entering Data -- EG3. Opening and Saving Workbooks -- EG4. Creating and Copying Worksheets -- EG5. Printing Worksheets -- MINITAB GUIDE -- MG1. Getting Started with Minitab -- MG2. Entering Data -- MG3. Opening and Saving Worksheets and Projects -- MG4. Creating and Copying Worksheets -- MG5. Printing Parts of a Project -- 1 Defining and Collecting Data -- USING STATISTICS: Beginning of the End ... Or the End of the Beginning? -- 1.1 Defining Data -- Establishing the Variable Type -- 1.2 Measurement Scales for Variables -- Nominal and Ordinal Scales -- Interval and Ratio Scales -- 1.3 Collecting Data -- Data Sources -- Populations and Samples -- Data Formatting -- Data Cleaning -- Recoding Variables -- 1.4 Types of Sampling Methods -- Simple Random Sample -- Systematic Sample -- Stratified Sample -- Cluster Sample -- 1.5 Types of Survey Errors -- Coverage Error -- Nonresponse Error -- Sampling Error -- Measurement Error -- Ethical Issues About Surveys -- THINK ABOUT THIS: New Media Surveys/Old Sampling Problems -- USING STATISTICS: Beginning of the End ... Revisited -- SUMMARY -- REFERENCES -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 1 -- Managing Ashland MultiComm Services -- CardioGood Fitness -- Clear Mountain State Student Surveys -- Learning with the Digital Cases -- CHAPTER 1 EXCEL GUIDE.EG1.1 Defining Data -- EG1.2 Measurement Scales for Variables -- EG1.3 Collecting Data -- EG1.4 Types of Sampling Methods -- CHAPTER 1 MINITAB GUIDE -- MG1.1 Defining Data -- MG1.2 Measurement Scales for Variables -- MG1.3 Collecting Data -- MG1.4 Types of Sampling Methods -- 2 Organizing and Visualizing Variables -- USING STATISTICS: The Choice Is Yours -- How to Proceed with This Chapter -- 2.1 Organizing Categorical Variables -- The Summary Table -- The Contingency Table -- 2.2 Organizing Numerical Variables -- The Ordered Array -- The Frequency Distribution -- Classes and Excel Bins -- The Relative Frequency Distribution and the Percentage Distribution -- The Cumulative Distribution -- Stacked and Unstacked Data -- 2.3 Visualizing Categorical Variables -- The Bar Chart -- The Pie Chart -- The Pareto Chart -- The Side-by-Side Bar Chart -- 2.4 Visualizing Numerical Variables -- The Stem-and-Leaf Display -- The Histogram -- The Percentage Polygon -- The Cumulative Percentage Polygon (Ogive) -- 2.5 Visualizing Two Numerical Variables -- The Scatter Plot -- The Time-Series Plot -- 2.6 Organizing Many Categorical Variables -- 2.7 Challenges in Organizing and Visualizing Variables -- Obscuring Data -- Creating False Impressions -- Chartjunk -- Guidelines for Constructing Visualizations -- USING STATISTICS: The Choice Is Yours, Revisited -- SUMMARY -- REFERENCES -- KEY EQUATIONS -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 2 -- Managing Ashland MultiComm Services -- Digital Case -- CardioGood Fitness -- The Choice Is Yours Follow-Up -- Clear Mountain State Student Surveys -- CHAPTER 2 EXCEL GUIDE -- EG2.1 Organizing Categorical Variables -- EG2.2 Organizing Numerical Variables -- EG2.3 Visualizing Categorical Variables -- EG2.4 Visualizing Numerical Variables -- EG2.5 Visualizing Two Numerical Variables.EG2.6 Organizing Many Categorical Variables -- CHAPTER 2 MINITAB GUIDE -- MG2.1 Organizing Categorical Variables -- MG2.2 Organizing Numerical Variables -- MG2.3 Visualizing Categorical Variables -- MG2.4 Visualizing Numerical Variables -- MG2.5 Visualizing Two Numerical Variables -- MG2.6 Organizing Many Categorical Variables -- 3 Numerical Descriptive Measures -- USING STATISTICS: More Descriptive Choices -- 3.1 Central Tendency -- The Mean -- The Median -- The Mode -- The Geometric Mean -- 3.2 Variation and Shape -- The Range -- The Variance and the Standard Deviation -- The Coefficient of Variation -- Z Scores -- Shape: Skewness and Kurtosis -- VISUAL EXPLORATIONS: Exploring Descriptive Statistics -- 3.3 Exploring Numerical Data -- Quartiles -- The Boxplot -- 3.4 Numerical Descriptive Measures for a Population -- The Population Mean -- The Population Variance and Standard Deviation -- The Empirical Rule -- The Chebyshev Rule -- 3.5 The Covariance and the Coefficient of Correlation -- The Covariance -- The Coefficient of Correlation -- 3.6 Descriptive Statistics: Pitfalls and Ethical Issues -- USING STATISTICS: More Descriptive Choices, Revisited -- SUMMARY -- REFERENCES -- KEY EQUATIONS -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 3 -- Managing Ashland MultiComm Services -- Digital Case -- CardioGood Fitness -- More Descriptive Choices Follow-up -- Clear Mountain State Student Surveys -- CHAPTER 3 EXCEL GUIDE -- EG3.1 Central Tendency -- EG3.2 Variation and Shape -- EG3.3 Exploring Numerical Data -- MG3.4 Numerical Descriptive Measures for a Population -- MG3.5 The Covariance and the Coefficient of Correlation -- CHAPTER 3 MINITAB GUIDE -- MG3.1 Central Tendency -- EG3.2 Variation and Shape -- MG3.3 Exploring Numerical Data -- MG3.4 Numerical Descriptive Measures for a Population.MG3.5 The Covariance and the Coefficient of Correlation -- 4 Basic Probability -- USING STATISTICS: Possibilities at M&R Electronics World -- 4.1 Basic Probability Concepts -- Events and Sample Spaces -- Contingency Tables and Venn Diagrams -- Simple Probability -- Joint Probability -- Marginal Probability -- General Addition Rule -- 4.2 Conditional Probability -- Computing Conditional Probabilities -- Decision Trees -- Independence -- Multiplication Rules -- Marginal Probability Using the General Multiplication Rule -- 4.3 Bayes' Theorem -- THINK ABOUT THIS: Divine Providence and Spam -- 4.4 Counting Rules -- 4.5 Ethical Issues and Probability -- USING STATISTICS: Possibilities at M&R Electronics World, Revisited -- SUMMARY -- REFERENCES -- KEY EQUATIONS -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 4 -- Digital Case -- CardioGood Fitness -- The Choice Is Yours Follow-Up -- Clear Mountain State Student Surveys -- CHAPTER 4 EXCEL GUIDE -- EG4.1 Basic Probability Concepts -- EG4.2 C onditional Probability -- EG4.3 Bayes' Theorem -- EG4.4 C ounting Rules -- CHAPTER 4 MINITAB GUIDE -- MG4.1 B asic Probability Concepts -- MG4.2 Conditional Probability -- MG4.3 B ayes' Theorem -- MG4.4 Counting Rules -- 5 Discrete Probability Distributions -- USING STATISTICS: Events of Interest at Ricknel Home Centers -- 5.1 The Probability Distribution for a Discrete Variable -- Expected Value of a Discrete Variable -- Variance and Standard Deviation of a Discrete Variable -- 5.2 Covariance of a Probability Distribution and Its Application in Finance -- Covariance -- Expected Value, Variance, and Standard Deviation of the Sum of Two Variables -- Portfolio Expected Return and Portfolio Risk -- 5.3 Binomial Distribution -- 5.4 Poisson Distribution -- 5.5 Hypergeometric Distribution.5.6 Using the Poisson Distribution to Approximate the Binomial Distribution (online) -- 5.5 Hypergeometric Distribution -- USING STATISTICS: Events of Interest at Ricknel Homecenters, Revisited -- SUMMARY -- REFERENCES -- KEY EQUATIONS -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 5 -- Managing Ashland MultiComm Services -- Digital Case -- Chapter 5 Excel Guide -- EG5.1 The Probability Distribution for a Discrete Variable -- EG5.2 Covariance of a Probability Distribution and its Applicationin Finance -- EG5.3 Binomial Distribution -- EG5.4 Poisson Distribution -- EG5.5 Hypgeometric Distribution -- CHAPTER 5 MINITAB GUIDE -- MG5.1 The Probability Distribution for a Discrete Variable -- MG5.2 Covariance and its Application in Finance -- MG5.3 Binomial Distribution -- MG5.4 Poisson Distribution -- MG5.5 Hypergeometric Distribution -- 6 The Normal Distribution and Other Continuous Distributions -- USING STATISTICS: Normal Downloading at MyTVLab -- 6.1 Continuous Probability Distributions -- 6.2 The Normal Distribution -- Computing Normal Probabilities -- Finding X Values -- VISUAL EXPLORATIONS: Exploring the Normal Distribution -- THINK ABOUT This: What Is Normal? -- 6.3 Evaluating Normality -- Comparing Data Characteristics to Theoretical Properties -- Comparing Data Characteristics to Theoretical Properties -- Constructing the Normal Probability Plot -- 6.4 The Uniform Distribution -- 6.5 The Exponential Distribution -- 6.6 The Normal Approximation to the Binomial Distribution -- USING STATISTICS: Normal Downloading at MyTVLab, Revisited -- SUMMARY -- REFERENCES -- KEY EQUATIONS -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 6 -- Managing Ashland MultiComm Services -- Digital Case -- CardioGood Fitness -- More Descriptive Choices Follow-up.Clear Mountain State Student Surveys.For freshman/sophomore, 2 semester/2-3 quarter courses covering finite mathematics and/or calculus for students in business, economics, social sciences, or life sciences. Barnett/Ziegler/Byleen is designed to help students help themselves succeed in the course. This text offers more built-in guidance than any other on the market-with special emphasis on prerequisites skills-and a host of student-friendly features to help students catch up or learn on their own. The content is organized into three parts: (1) A Library of Elementary Functions (Chapters 1-2), (2) Finite Mathematics (Chapters 3-9), and (3) Calculus (Chapters 10-15). This program provides a better teaching and learning experience. Here's how: More than 6,900 exercises in the text help you craft the perfect assignments for your students, with plenty of support for prerequisite skills. Built-in guidance helps students help themselves learn course content. Flexible coverage allows instructors to use this text in a way that suits their syllabus and teaching style. MyMathLab not included. Students, if MyMathLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyMathLab is not a self-paced technology and should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyMathLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.Always learning.Mathematical statisticsCommercial statisticsMathematical statistics.Commercial statistics.519.5Berenson Mark L.102011Szabat Kathryn A.Levine David M.1946-MiAaPQMiAaPQMiAaPQBOOK9910154783103321Basic business statistics concepts and applications3408157UNINA04373nam 2200961z- 450 991055732350332120220111(CKB)5400000000042645(oapen)https://directory.doabooks.org/handle/20.500.12854/77056(oapen)doab77056(EXLCZ)99540000000004264520202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvances in Underground Energy Storage for Renewable Energy SourcesBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (183 p.)3-0365-1880-0 3-0365-1879-7 Energy storage currently plays an important role in the electricity systems. Innovative energy storage solutions will play an important role in ensuring the integration of renewable energy sources into the electrical grids in the European Union. Pumped storage hydropower systems are the most mature technology of energy storage and account for over 90% of installed energy storage capacity wordwide. However, PSH technology is constrained by topography and land availability in flat areas. In addition, PSH plants are controversial due to their impacts on landscape, land use and the environment. Conversely, underground energy storage systems may be an interesting alternative to increase the energy storage capacity with low envoronmental impacts.To help address and resolve these types of questions, this book is comprised of eleven chapters that explore new ways of energy stororage reducing the environmental impacts caused by the installation of conventional energy storage systems, as well as to increase the energy storage capacity and promote the use of disused underground space, such as abandoned mines and quiarries.The chapters included in this book cover a wide spectrum of issues related to underground energy storage systems. Advances in underground pumped storage hydropower, compressed air energy storage and hydrogen energy storage systems are presented. Finally, we would like to thank both the MDPI publishing and editorial staff for their excellent work and support, as well as the authors who collaborated with your interesting research works.Research and information: generalbicsscTechnology: general issuesbicsscabandoned minesanalytical modellingancillary servicesaquiferCAESday-ahead marketeconomic feasibilityefficiencyempirical analysisenergy storageenergy storage systemenvironmental impactenvironmental impactsepoxy resinexergygroundwaterheliumhydro-pumped storagehydrochemistryhydrogenhydrogen permeabilityhydrogen storagehydropowerhydropower plantsleakageLiner Rock Cavernsmesoscale atmospheric modelminemining structuresmonitoringn/anumerical modellingopen pitphotovoltaicsprotocolpumped storage hydropowerquarryrenewable energysalt cavernssealing layersealing linersunderground pumped storageunderground reservoirunderground reservoirsunderground spaceunderground storagewind curtailmentwind energyResearch and information: generalTechnology: general issuesLoredo Jorgeedt1328669Menéndez JavieredtLoredo JorgeothMenéndez JavierothBOOK9910557323503321Advances in Underground Energy Storage for Renewable Energy Sources3038800UNINA