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[null,"1.","Record Nr.",null,"UNINA9910154783103321"]
[null,null,"Autore",null,"Berenson Mark L."]
[null,null,"Titolo",null,"Basic business statistics concepts and applications. / / Mark L Berenson, David Levine, Kathryn A. Szabat"]
[null,null,"Pubbl/distr/stampa",null,"Harlow, England : , : Pearson Education, Limited, , [2015]"]
[{"$nulls":4},"©2015"]
[null,null,"ISBN",null,"1-292-06903-1"]
[null,null,"Edizione",null,"[Thirteenth edition, global edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (840 pages) : illustrations"]
[null,null,"Collana",null,"Always Learning"]
[null,null,"Disciplina",null,"519.5"]
[null,null,"Soggetti",null,"Mathematical statistics"]
[{"$nulls":4},"Commercial statistics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"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 "]
[{"$nulls":4},"YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 1 -- Managing Ashland MultiComm Services -- CardioGood Fitness -- Clear Mountain State Student Surveys -- Learning with the Digital Cases -- CHAPTER 1 EXCEL GUIDE."]
[{"$nulls":4},"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."]
[{"$nulls":4},"EG2.6 Organizing Many Categorical Variables -- CHAPTER 2 MINITAB GUIDE -- MG2.1 Organizing Categorical Variables -- MG2.2 Organizing Numerical Variables -- MG2.3 Visualizing Categorical Variables -- MG2.4 Visualizing Numerical Variables -- MG2.5 Visualizing Two Numerical Variables -- MG2.6 Organizing Many Categorical Variables -- 3 Numerical Descriptive Measures -- USING STATISTICS: More Descriptive Choices -- 3.1 Central Tendency -- The Mean -- The Median -- The Mode -- The Geometric Mean -- 3.2 Variation and Shape -- The Range -- The Variance and the Standard Deviation -- The Coefficient of Variation -- Z Scores -- Shape: Skewness and Kurtosis -- VISUAL EXPLORATIONS: Exploring Descriptive Statistics -- 3.3 Exploring Numerical Data -- Quartiles -- The Boxplot -- 3.4 Numerical Descriptive Measures for a Population -- The Population Mean -- The Population Variance and Standard Deviation -- The Empirical Rule -- The Chebyshev Rule -- 3.5 The Covariance and the Coefficient of Correlation -- The Covariance -- The Coefficient of Correlation -- 3.6 Descriptive Statistics: Pitfalls and Ethical Issues -- USING STATISTICS: More Descriptive Choices, Revisited -- SUMMARY -- REFERENCES -- KEY EQUATIONS -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 3 -- Managing Ashland MultiComm Services -- Digital Case -- CardioGood Fitness -- More Descriptive Choices Follow-up -- Clear Mountain State Student Surveys -- CHAPTER 3 EXCEL GUIDE -- EG3.1 Central Tendency -- EG3.2 Variation and Shape -- EG3.3 Exploring Numerical Data -- MG3.4 "]
[{"$nulls":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."]
[{"$nulls":4},"MG3.5 The Covariance and the Coefficient of Correlation -- 4 Basic Probability -- USING STATISTICS: Possibilities at M&R Electronics World -- 4.1 Basic Probability Concepts -- Events and Sample Spaces -- Contingency Tables and Venn Diagrams -- Simple Probability -- Joint Probability -- Marginal Probability -- General Addition Rule -- 4.2 Conditional Probability -- Computing Conditional Probabilities -- Decision Trees -- Independence -- Multiplication Rules -- Marginal Probability Using the General Multiplication Rule -- 4.3 Bayes' Theorem -- THINK ABOUT THIS: Divine Providence and Spam -- 4.4 Counting Rules -- 4.5 Ethical Issues and Probability -- USING STATISTICS: Possibilities at M&R Electronics World, Revisited -- SUMMARY -- REFERENCES -- KEY EQUATIONS -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 4 -- Digital Case -- CardioGood Fitness -- The Choice Is Yours Follow-Up -- Clear Mountain State Student Surveys -- CHAPTER 4 EXCEL GUIDE -- EG4.1 Basic Probability Concepts -- EG4.2 C onditional Probability -- EG4.3 Bayes' Theorem -- EG4.4 C ounting Rules -- CHAPTER 4 MINITAB GUIDE -- MG4.1 B asic Probability Concepts -- MG4.2 Conditional Probability -- MG4.3 B ayes' Theorem -- MG4.4 Counting Rules -- 5 Discrete Probability Distributions -- USING STATISTICS: Events of Interest at Ricknel Home Centers -- 5.1 The Probability Distribution for a Discrete Variable -- Expected Value of a Discrete Variable -- Variance and Standard Deviation of a Discrete Variable -- 5.2 Covariance of a Probability Distribution and Its Application in Finance -- Covariance -- Expected Value, Variance, and Standard Deviation of the Sum of Two Variables -- Portfolio Expected Return and Portfolio Risk -- 5.3 Binomial Distribution -- 5.4 Poisson Distribution -- 5.5 Hypergeometric Distribution."]
[{"$nulls":4},"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 "]
[{"$nulls":4},"-- REFERENCES -- KEY EQUATIONS -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 6 -- Managing Ashland MultiComm Services -- Digital Case -- CardioGood Fitness -- More Descriptive Choices Follow-up."]
[{"$nulls":4},"Clear Mountain State Student Surveys."]
[null,null,null,"Sommario/riassunto","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."]
[null,"2.","Record Nr.",null,"UNINA9910298643903321"]
[null,null,"Autore",null,"Yu Jing"]
[null,null,"Titolo",null,"Adhesive Interactions of Mussel Foot Proteins / / by Jing Yu"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014"]
[null,null,"ISBN",null,"3-319-06031-7"]
[null,null,"Edizione",null,"[1st ed. 2014.]"]
[null,null,"Descrizione fisica",null,"1 online resource (79 p.)"]
[null,null,"Collana",null,"Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053"]
[null,null,"Disciplina",null,"594.4"]
[null,null,"Soggetti",null,"Biochemical engineering"]
[{"$nulls":4},"Materials—Surfaces"]
[{"$nulls":4},"Thin films"]
[{"$nulls":4},"Biomedical engineering"]
[{"$nulls":4},"Biomaterials"]
[{"$nulls":4},"Biochemical Engineering"]
[{"$nulls":4},"Surfaces and Interfaces, Thin Films"]
[{"$nulls":4},"Biomedical Engineering and Bioengineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"Mussel adhesion -- Surface Interactions in Biological Systems -- Effects of interfacial redox in mussel adhesive protein films on mica -- Antioxidant is a Key Factor in Mussel Protein Adhesion -- Hydrophobic enhancement of Dopa-mediated adhesion in a mussel foot protein -- Learning from the pieces: the adhesion of mussel-inspired peptides."]
[null,null,null,"Sommario/riassunto","Water and moisture undermine strong adhesion to polar surfaces. Marine mussels, however, achieve durable underwater adhesion using a suite of proteins that are peculiar in having high levels of 3, 4-dihydroxyphenylalanine (Dopa). Mussel adhesion has inspired numerous studies on developing the next generation of wet adhesives. This thesis presents recent progress in understanding the basic surface and intermolecular interactions employed by mussels to achieve strong and durable wet adhesion. The surface forces apparatus (SFA) and various other techniques were applied to measure the interactions between mussel foot protein-3 fast (Mfp-3 fast) and the model substrate, mica, as well as the interactions between various mussel adhesive proteins. The results in this thesis show that Dopa plays an "]
[{"$nulls":4},"essential role in mussel adhesion, and that mussels delicately control the interfacial redox environment to achieve strong and durable Dopa mediated adhesion. The interplay between Dopa and hydrophobic interactions is also evident in mussel adhesion."]