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Mathematics is a universal language that forms the foundations of our understanding of the world. It goes beyond mere numbers and calculations; it's about discovering patterns, solving puzzles, and comprehending the logic of the universe. Mathematics is the key to understanding complex phenomena, from the tiniest particles to the grandest cosmic structures. It provides us with a toolkit to solve problems and gain new insights.
18 results
  1. Precalculus: Graphical, Numerical, Algebraic, Global Edition -- MyLab Math with Pearson eText
    1. Franklin Demana
    2. Bert Waits
    3. Gregory Foley

    Precalculus: Graphical, Numerical, Algebraic, Global Edition -- MyLab Math with Pearson eText

    Franklin D. Demana Frank Demana received his master's and Ph.D. degrees in mathematics from Michigan State University. Currently, he is Professor Emeritus of Mathematics at The Ohio State University. As an active supporter of the use of technology to teach and learn mathematics, he is cofounder of the international Teachers Teaching with Technology (T3) professional development program. He has been the director or codirector of more than $10 million of National Science Foundation (NSF) and foundational grant activities, including a $3 million grant from the U.S. Department of Education Mathematics and Science Educational Research program awarded to The Ohio State University. Along with frequent presentations at professional meetings, he has published a variety of articles in the areas of computer-and calculator-enhanced mathematics instruction. Dr. Demana is also cofounder (with Bert Waits) of the annual International Conference on Technology in Collegiate Mathematics(ICTCM). He is co-recipient of the 1997 Glenn Gilbert National Leadership Award presented by the National Council of Supervisors of Mathematics, co-recipient of the 1998 Christofferson-Fawcett Mathematics Education Award presented by the Ohio Council of Teachers of Mathematics, and recipient of the 2015 National Council of Teachers of Mathematics (NCTM) Lifetime Achievement Award. Dr. Demana co-authored Calculus: Graphical, Numerical, Algebraic; Essential Algebra: A Calculator Approach; Transition to College Mathematics; College Algebra and Trigonometry: A Graphing Approach; College Algebra: A Graphing Approach; Precalculus: Functions and Graphs; and Intermediate Algebra: A Graphing Approach. Bert K. Waits Bert Waits received his Ph.D. from The Ohio State University and was Professor Emeritus of Mathematics there. Dr. Waits was cofounder of the international Teachers Teaching with Technology (T3) professional development program and was codirector or principal investigator on several large National Science Foundation projects. Dr. Waits published articles in more than 70 nationally recognized professional journals. He frequently gave invited lectures, workshops, and mini courses at national meetings of the Mathematical Association of America and the National Council of Teachers of Mathematics (NCTM) on how to use computer technology to enhance the teaching and learning of mathematics. Dr. Waits was co-recipient of the 1997 Glenn Gilbert National Leadership Award presented by the National Council of Supervisors of Mathematics, and was the cofounder (with Frank Demana)of the ICTCM. He was also co-recipient of the 1998 Christofferson-Fawcett Mathematics Education Award presented by the Ohio Council of Teachers of Mathematics and recipient of the 2015 NCTM Lifetime Achievement Award. Dr.Waits was one of the six authors of the high school portion of the ground breaking 1989 NCTM Standards. Dr.Waits co-authored Calculus: Graphical, Numerical, Algebraic; College Algebra and Trigonometry: A Graphing Approach; College Algebra: A Graphing Approach; Precalculus: Functions and Graphs; and Intermediate Algebra: A Graphing Approach. Gregory D. Foley Greg Foley received B.A. and M.A. degrees in mathematics and a Ph.D. in mathematics education from The University of Texas at Austin. He is the Robert L. Morton Professor of Mathematics Education at Ohio University. Dr. Foley has taught elementary arithmetic through graduate-level mathematics, as well as upper-division and graduate-level mathematics education classes. He has held full-time faculty positions at North Harris County College, Austin Community College, The Ohio State University, Sam Houston State University, and Appalachian State University, and served as Director of the Liberal Arts and Science Academy and as Senior Scientist for Secondary School Mathematics Improvement for the Austin Independent School District in Austin, Texas. Dr. Foley has presented over 400lectures, workshops, and institutes throughout the United States and, internationally, has directed or codirected more than 60 funded projects totalling over $5million. He has published over 50 book chapters and journal articles. In 1998,he received the biennial American Mathematical Association of Two-Year Colleges(AMATYC) Award for Mathematics Excellence; in 2005, the annual Teachers Teaching with Technology (T3) Leadership Award; in 2013, Ohio University's Patton College award for distinguished graduate teaching; and in 2015, the Ohio Council of Teachers of Mathematics Kenneth Cummins Award for exemplary mathematics teaching at the university level. Dr. Foley co-authored Precalculus: A Graphing Approach; Precalculus: Functions and Graphs; and Advanced Quantitative Reasoning: Mathematics for the World Around Us. Daniel Kennedy Dan Kennedy received his undergraduate degree from the College of the Holy Cross and his master's degree and Ph.D. in mathematics from the University of North Carolina at Chapel Hill. Since 1973 he has taught mathematics at the Baylor School in Chattanooga, Tennessee, where he holds the Cartter Lupton Distinguished Professorship. Dr. Kennedy joined the Advanced Placement Calculus Test Development Committee in 1986, then in 1990 became the first high school teacher in 35years to chair that committee. It was during his tenure as chair that the program moved to require graphing calculators and laid the early groundwork for the 1998 reform of the Advanced Placement Calculus curriculum. The author of the1997 Teacher's Guide—AP Calculus, Dr. Kennedy has conducted more than 50workshops and institutes for high school calculus teachers. His articles on mathematics teaching have appeared in the Mathematics Teacher and the American Mathematical Monthly, and he is a frequent speaker on education reform at professional and civic meetings. Dr. Kennedy was named a Tandy Technology Scholar in 1992 and a Presidential Award winner in 1995. Dr. Kennedy co-authored Calculus: Graphical, Numerical, Algebraic; Prentice Hall Algebra I; Prentice Hall Geometry; and Prentice Hall Algebra 2. David E. Bock Dave Bock holds degrees from the University at Albany (NY) in mathematics (B.A.) and statistics/education (M.S.). Mr. Bock taught mathematics at Ithaca High School for 35 years, including both BC Calculus and AP Statistics. He also taught Statistics at Tompkins-Cortland Community College, Ithaca College, and Cornell University, where he recently served as K–12 Education and Outreach Coordinator and Senior Lecturer for the Mathematics Department. Mr. Bock serves as a Statistics consultant to the College Board, leading numerous workshops, and institutes for AP Statistics teachers. He has been a reader for the AP Calculus exam and both a reader and a table leader for the AP Statistics exam. During his career Mr. Bock won numerous teaching awards, including the MAA's Edyth MaySliffe Award for Distinguished High School Mathematics Teaching (twice) and Cornell University's Outstanding Educator Award (three times), and was also a finalist for New York State Teacher of the Year. Mr. Bock co-authored the AP Statistics textbook Stats: Modeling the World, then on-AP text Stats in Your World, Barron's AP Calculus review book, and Barron's AP Calculus Flash Cards.  

    € 74,95
  2. College Algebra and Trigonometry, Global Edition -- MyLab Math with Pearson eText
    1. Margaret Lial
    2. John Hornsby
    3. David Schneider

    College Algebra and Trigonometry, Global Edition -- MyLab Math with Pearson eText

    Marge Lial (late) was always interested in math; it was her favorite subject in the first grade! Marge's intense desire to educate both her students and herself has inspired the writing of numerous best-selling textbooks. Marge, who received Bachelor's and Master's degrees from California State University at Sacramento, was affiliated with American River College. An avid reader and traveler, her travel experiences often found their way into her books as applications, exercise sets, and feature sets. Her interest in archeology led to trips to various digs and ruin sites, producing some fascinating problems for her textbooks involving such topics as the building of Mayan pyramids and the acoustics of ancient ball courts in the Yucatan. When John Hornsby enrolled as an undergraduate at Louisiana State University, he was uncertain whether he wanted to study mathematics education or journalism. His ultimate decision was to become a teacher, but after twenty-five years of teaching at the high school and university levels and fifteen years of writing mathematics textbooks, both of his goals have been realized. His love for both teaching and for mathematics is evident in his passion for working with students and fellow teachers as well. His specific professional interests are recreational mathematics, mathematics history, and incorporating graphing calculators into the curriculum. John's personal life is busy as he devotes time to his family (wife Gwen, and sons Chris, Jack, and Josh), and has been an avid baseball fan all of his life. John's other hobbies include numismatics (the study of coins) and record collecting. He loves the music of the 1960s and has an extensive collection of the recorded works of Frankie Valli and the Four Seasons. A native Midwesterner, Terry McGinnis received her Bachelor’s of Science in Elementary Education with a concentration in Mathematics from Iowa State University. She has taught elementary and middle school mathematics, and developed and implemented the curriculum used with her students. Terry has been involved in college mathematics publishing for over 20 years, working with a variety of authors on textbooks in both developmental mathematics and precalculus. After working behind the scenes on many of the Lial/Hornsby textbooks and supplements for over 10 years, Terry joined Margaret Lial and John Hornsby in 2002 as coauthor of their developmental mathematics series. When not working, Terry enjoys spinning at a local health club, walking, and reading fiction. She is the devoted mother of two sons, Andrew and Tyler. Callie Daniels has always had a passion for learning mathematics and brings that passion into the classroom with her students. She attended the University of the Ozarks where she earned a bachelor’s degree in Secondary Mathematics Education. She has two master’s degrees: one in Applied Mathematics and Statistics from the University of Missouri—Rolla, the second in Adult Education from the University of Missouri—St. Louis. Her professional interests include improving success in the community college mathematics sequence, using technology to enhance students’ understanding of mathematics, and creating materials that support classroom teaching and student understanding. She is able to pursue these interests as a contributor on the Lial Developmental Math series, and a co-author on the Precalculus series.

    € 82,95
  3. Algebra and Trigonometry, Global Edition -- MyLab Math with Pearson eText
    1. Robert Blitzer

    Algebra and Trigonometry, Global Edition -- MyLab Math with Pearson eText

    Bob Blitzer is a native of Manhattan and received aBachelor of Arts degree with dual majors in mathematics and psychology (minor:English literature) from the City College of New York. His unusual combinationof academic interests led him toward a Master of Arts in mathematics from theUniversity of Miami and a doctorate in behavioral sciences from NovaUniversity. Bob's love for teaching mathematics was nourished for nearly 30years at Miami Dade College, where he received numerous teaching awards,including Innovator of the Year from the League for Innovations in theCommunity College and an endowed chair based on excellence in the classroom. Inaddition to Algebra and Trigonometry, Bob has written textbookscovering developmental mathematics, introductory algebra, intermediate algebra,trigonometry, precalculus, and liberal arts mathematics, all published byPearson. When not secluded in his Northern California writer's cabin, Bob canbe found hiking the beaches and trails of Point Reyes National Seashore andtending to the chores required by his beloved entourage of horses, chickens,and irritable roosters.

    € 82,95
  4. Thomas' Calculus: Early Transcendentals, SI Units -- MyLab Mathematics with Pearson eText (Access Card)
    1. Joel Hass
    2. Christopher Heil
    3. Maurice Weir

    Thomas' Calculus: Early Transcendentals, SI Units -- MyLab Mathematics with Pearson eText (Access Card)

    Joel Hass received his PhD from the University of California - Berkeley. He is currently a professor of mathematics at the University of California - Davis. He has coauthored widely used calculus texts as well as calculus study guides. He is currently on the editorial board of several publications, including the Notices of the American Mathematical Society. He has been a member of the Institute for Advanced Study at Princeton University and of the Mathematical Sciences Research Institute, and he was a Sloan Research Fellow. Hass's current areas of research include the geometry of proteins, three dimensional manifolds, applied math, and computational complexity. In his free time, Hass enjoys kayaking. Christopher Heil received his PhD from the University of Maryland. He is currently a professor of mathematics at the Georgia Institute of Technology. He is the author of a graduate text on analysis and a number of highly cited research survey articles. He serves on the editorial boards of Applied and Computational Harmonic Analysis and The Journal of Fourier Analysis and Its Applications. Heil's current areas of research include redundant representations, operator theory, and applied harmonic analysis. In his spare time, Heil pursues his hobby of astronomy. The late Maurice D. Weir of the the Naval Postgraduate School in Monterey, California was Professor Emeritus as a member of the Department of Applied Mathematics. He held a DA and MS from Carnegie-Mellon University and received his BS at Whitman College. Weir was awarded the Outstanding Civilian Service Medal, the Superior Civilian Service Award, and the Schieffelin Award for Excellence in Teaching. He co-authored eight books, including University Calculus and Thomas' Calculus. Przemyslaw Bogacki is an Associate Professor of Mathematics and Statistics and a University Professor at Old Dominion University. He received his PhD in 1990 from Southern Methodist University. He is also the author of a text on linear algebra, which appeared in 2019. He is actively involved in applications of technology in collegiate mathematics. His areas of research include computer aided geometric design and numerical solution of initial value problems for ordinary differential equations.

    € 76,95
  5. Essentials of MIS, Global Edition -- MyLab MIS with Pearson eText Access Card
    1. Kenneth Laudon
    2. Jane Laudon

    Essentials of MIS, Global Edition -- MyLab MIS with Pearson eText Access Card

    Kenneth C. Laudon was a professor of information systems at New York University School of Business. He held a BA in economics from Stanford and a PhD from Columbia University. He authored 12 books dealing with electronic commerce, information systems, organizations, and society. Professor Laudon wrote more than 40 articles concerning social, organizational, and management impacts of information systems, privacy, ethics, and multimedia technology. At NYU's Stern School of Business, Ken Laudon taught courses on Managing the Digital Firm, Information Technology and Corporate Strategy, Professional Responsibility (Ethics), and Electronic Commerce and Digital Markets. Ken Laudon's hobby was sailing. Jane Price Laudon is a management consultant in the information systems area and the author of seven books. Her special interests include systems analysis, data management, MIS auditing, software evaluation, and teaching business professionals how to design and use information systems. Jane received her Ph.D. from Columbia University, her M.A. from Harvard University, and her B.A. from Barnard College. She has taught at Columbia University and the New York University Stern School of Business. She maintains a lifelong interest in languages and civilizations of Asia. The Laudons have two daughters, Erica and Elisabeth, to whom this book is dedicated. Carol Guercio Traver is a graduate of Yale Law School and Vassar College. She has had many years of experience representing major corporations, as well as small and medium-sized businesses, as an attorney with a leading international law firm, with specific expertise in technology law, Internet law, privacy law, intellectual property law, and general corporate law. Carol is the co-author of E-commerce. Business. Technology. Society (Pearson), as well as several other texts on information technology, and has been the lead project manager/editor on a number of technology-related projects. Carol is the co-founder and president of Azimuth Interactive, one of the first edtech firms and a provider of digital media and publisher services for the education industry.

    € 74,95
  6. Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences, Global Edition -- MyLab Mathematics with Pearson eText (ACC)
    1. Raymond Barnett
    2. Michael Ziegler
    3. Karl Byleen

    Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences, Global Edition -- MyLab Mathematics with Pearson eText (ACC)

    About our authors Raymond A. Barnett, a native of California, received his B.A. in mathematical statistics from the University of California at Berkeley and his M.A. in mathematics from the University of Southern California. He has been a member of the Merritt College Mathematics Department, and was chairman of the department for 4 years. Raymond Barnett has authored or co-authored 18 textbooks in mathematics, most of which are still in use. In addition to international English editions, a number of books have been translated into Spanish. The late Michael R. Ziegler received his B.S. from Shippensburg State College and his M.S. and Ph.D. from the University of Delaware. After completing postdoctoral work at the University of Kentucky, he was appointed to the faculty of Marquette University where he held the rank of Professor in the Department of Mathematics, Statistics and Computer Science. Dr. Ziegler published over a dozen research articles in complex analysis and co-authored 11 undergraduate mathematics textbooks with Raymond A. Barnett, and more recently, Karl E. Byleen. Karl E. Byleen received his B.S., M.A. and Ph.D. degrees in mathematics from the University of Nebraska. He is currently an Associate Professor in the Department of Mathematics, Statistics and Computer Science of Marquette University. He has published a dozen research articles on the algebraic theory of semigroups. Christopher J. Stocker received his B.S. in mathematics and computer science from St. John's University in Minnesota and his M.A. and Ph.D. degrees in mathematics from the University of Illinois in Urbana-Champaign.  He is currently an Adjunct Assistant Professor in the Department of Mathematics, Statistics, and Computer Science of Marquette University.  He has published 8 research articles in the areas of graph theory and combinatorics.

    € 71,95
  7. Statistics for Business & Economics, Global Edition -- MyLab Statistics with Pearson eText
    1. James T. McClave
    2. P. Benson
    3. Terry Sincich

    Statistics for Business & Economics, Global Edition -- MyLab Statistics with Pearson eText

    Dr. Jim McClave is currently President and CEO ofInfo Tech, Inc., a statistical consulting and software development firm with aninternational clientele. He is also a Courtesy Professor ofStatistics at the University of Florida, where he was a full-time member of thefaculty for over 20 years. Dr. Terry Sincich obtained his PhD inStatistics from the University of Florida in 1980. He is a ProfessorEmeritus of the Information Systems & Decision SciencesDepartment at the University of South Florida in Tampa, where hewas responsible for teaching basic statistics to all undergraduates, aswell as advanced statistics to all doctoral candidates, in the College ofBusiness Administration. He has published articles in such journals asthe Journal of the American Statistical Association, InternationalJournal of Forecasting, Academy of Management Journal,and Auditing: A Journal of Practice & Theory.Dr. Sincich is a co-author of the texts: Statistics, Statisticsfor Business & Economics, Statistics for Engineering & theSciences, and A Second Course in Statistics: Regression Analysis.

    € 82,95
  8. Biostatistics for the Biological and Health Sciences, Global Edition -- MyLab Statistics Course with Pearson eText Access Code
    1. Mario Triola
    2. Marc Triola
    3. Jason Roy

    Biostatistics for the Biological and Health Sciences, Global Edition -- MyLab Statistics Course with Pearson eText Access Code

    € 74,95
  9. Applied Business Calculus and Finite Math
    1. David Graser

    Applied Business Calculus and Finite Math

    A Hybrid Approach (Access Code Card)
    € 140,95
  10. Pearson eText -- Elementary Number Theory -- Access Card
    1. Kenneth Rosen

    Pearson eText -- Elementary Number Theory -- Access Card

    About our author Kenneth H. Rosen received his BS in mathematics from the University of Michigan - Ann Arbor (1972) and his PhD in mathematics from MIT (1976). Before joining Bell Laboratories in 1982, he held positions at the University of Colorado - Boulder, The Ohio State University - Columbus, and the University of Maine - Orono, where he was an associate professor of mathematics. While working at AT&T Laboratories, he taught at Monmouth University, teaching courses in discrete mathematics, coding theory, and data security.  Dr. Rosen has published numerous articles in professional journals in the areas of number theory and mathematical modeling. He is the author of Elementary Number Theory,  7th Edition and other books. 

    € 192,95
  11. Stats: Data and Models, Global Edition -- MyLab Statistics with Pearson eText
    1. Richard De Veaux
    2. Paul Velleman
    3. David Bock

    Stats: Data and Models, Global Edition -- MyLab Statistics with Pearson eText

    Preface Index of Applications   I: EXPLORING AND UNDERSTANDING DATA   1. Stats Starts Here  1.1 What Is Statistics?  1.2 Data  1.3 Variables  1.4 Models   2. Displaying and Describing Data 2.1 Summarizing and Displaying a Categorical Variable  2.2 Displaying a Quantitative Variable  2.3 Shape  2.4 Center  2.5 Spread    3. Relationships Between Categorical Variables–Contingency Tables 3.1 Contingency Tables  3.2 Conditional Distributions  3.3 Displaying Contingency Tables  3.4 Three Categorical Variables   4. Understanding and Comparing Distributions 4.1 Displays for Comparing Groups  4.2 Outliers  4.3 Re-Expressing Data: A First Look   5. The Standard Deviation as a Ruler and the Normal Model 5.1 Using the Standard Deviation to Standardize Values  5.2 Shifting and Scaling  5.3 Normal Models  5.4 Working with Normal Percentiles  5.5 Normal Probability Plots   Review of Part I: Exploring and Understanding Data   II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES   6. Scatterplots, Association, and Correlation 6.1 Scatterplots 6.2 Correlation 6.3 Warning: Correlation ≠ Causation *6.4 Straightening Scatterplots   7. Linear Regression 7.1 Least Squares: The Line of “Best Fit” 7.2 The Linear Model 7.3 Finding the Least Squares Line 7.4 Regression to the Mean 7.5 Examining the Residuals 7.6 R2–The Variation Accounted for by the Model  7.7 Regression Assumptions and Conditions   8. Regression Wisdom 8.1 Examining Residuals  8.2 Extrapolation: Reaching Beyond the Data  8.3 Outliers, Leverage, and Influence  8.4 Lurking Variables and Causation  8.5 Working with Summary Values  *8.6 Straightening Scatterplots–The Three Goals  *8.7 Finding a Good Re-Expression   9. Multiple Regression 9.1 What Is Multiple Regression?  9.2 Interpreting Multiple Regression Coefficients  9.3 The Multiple Regression Model–Assumptions and Conditions  9.4 Partial Regression Plots  *9.5 Indicator Variables    Review of Part II: Exploring Relationships Between Variables    III. GATHERING DATA   10. Sample Surveys 10.1 The Three Big Ideas of Sampling  10.2 Populations and Parameters  10.3 Simple Random Samples  10.4 Other Sampling Designs  10.5 From the Population to the Sample: You Can't Always Get What You Want  10.6 The Valid Survey 10.7 Common Sampling Mistakes, or How to Sample Badly   11. Experiments and Observational Studies11.1  Observational Studies  11.2 Randomized, Comparative Experiments  11.3 The Four Principles of Experimental Design 11.4 Control Groups  11.5 Blocking  11.6 Confounding   Review of Part III: Gathering Data   IV. RANDOMNESS AND PROBABILITY    12. From Randomness to Probability 12.1 Random Phenomena  12.2 Modeling Probability  12.3 Formal Probability   13.Probability Rules! 13.1 The General Addition Rule  13.2 Conditional Probability and the General Multiplication Rule  13.3 Independence  13.4 Picturing Probability: Tables, Venn Diagrams, and Trees  13.5 Reversing the Conditioning and Bayes' Rule   14. Random Variables 14.1 Center: The Expected Value  14.2 Spread: The Standard Deviation  14.3 Shifting and Combining Random Variables  14.4 Continuous Random Variables   15. Probability Models 15.1 Bernoulli Trials  15.2 The Geometric Model  15.3 The Binomial Model  15.4 Approximating the Binomial with a Normal Model  15.5 The Continuity Correction  15.6 The Poisson Model  15.7 Other Continuous Random Variables: The Uniform and the Exponential   Review of Part IV: Randomness and Probability   V. INFERENCE FOR ONE PARAMETER    16. Sampling Distribution Models and Confidence Intervals for Proportions 16.1 The Sampling Distribution Model for a Proportion  16.2 When Does the Normal Model Work? Assumptions and Conditions  16.3 A Confidence Interval for a Proportion  16.4 Interpreting Confidence Intervals: What Does 95% Confidence Really Mean? 16.5 Margin of Error: Certainty vs. Precision  *16.6 Choosing the Sample Size   17. Confidence Intervals for Means 17.1 The Central Limit Theorem  17.2 A Confidence Interval for the Mean  17.3 Interpreting Confidence Intervals  *17.4 Picking Our Interval up by Our Bootstraps  17.5 Thoughts About Confidence Intervals   18. Testing Hypotheses 18.1 Hypotheses 18.2 P-Values  18.3 The Reasoning of Hypothesis Testing  18.4 A Hypothesis Test for the Mean  18.5 Intervals and Tests  18.6 P-Values and Decisions: What to Tell About a Hypothesis Test   19. More About Tests and Intervals 19.1 Interpreting P-Values  19.2 Alpha Levels and Critical Values  19.3 Practical vs. Statistical Significance  19.4 Errors   Review of Part V: Inference for One Parameter   VI. INFERENCE FOR RELATIONSHIPS   20. Comparing Groups 20.1 A Confidence Interval for the Difference Between Two Proportions  20.2 Assumptions and Conditions for Comparing Proportions  20.3 The Two-Sample z-Test: Testing for the Difference Between Proportions 20.4 A Confidence Interval for the Difference Between Two Means 20.5 The Two-Sample t-Test: Testing for the Difference Between Two Means *20.6 Randomization Tests and Confidence Intervals for Two Means *20.7 Pooling  *20.8 The Standard Deviation of a Difference    21. Paired Samples and Blocks 21.1 Paired Data  21.2 The Paired t-Test  21.3 Confidence Intervals for Matched Pairs  21.4 Blocking   22. Comparing Counts 22.1 Goodness-of-Fit Tests  22.2 Chi-Square Test of Homogeneity  22.3 Examining the Residuals  22.4 Chi-Square Test of Independence    23. Inferences for Regression 23.1 The Regression Model  23.2 Assumptions and Conditions  23.3 Regression Inference and Intuition  23.4 The Regression Table  23.5 Multiple Regression Inference  23.6 Confidence and Prediction Intervals  *23.7 Logistic Regression  *23.8 More About Regression   Review of Part VI: Inference for Relationships   VII. INFERENCE WHEN VARIABLES ARE RELATED   24. Multiple Regression Wisdom 24.1 Multiple Regression Inference  24.2 Comparing Multiple Regression Model  24.3 Indicators  24.4 Diagnosing Regression Models: Looking at the Cases  24.5 Building Multiple Regression Models   25. Analysis of Variance 25.1 Testing Whether the Means of Several Groups Are Equal  25.2 The ANOVA Table  25.3 Assumptions and Conditions  25.4 Comparing Means  25.5 ANOVA on Observational Data   26. Multifactor Analysis of Variance 26.1 A Two Factor ANOVA Model   26.2 Assumptions and Conditions  26.3 Interactions   27. Statistics and Data Science 27.1 Introduction to Data Mining   Review of Part VII: Inference When Variables Are Related   Parts I—V Cumulative Review Exercises   Appendixes: A. Answers  B. Credits  C. Indexes  D. Tables and Selected Formulas 

    € 82,95
  12. Elementary and Intermediate Algebra
    1. Jay Lehmann

    Elementary and Intermediate Algebra

    Functions and Authentic Applications for Central Oregon CC - 10 Week Standalone Access Card
    € 91,50