Instructor's Solutions Manual to Accompany Statistics in Practice PDF Download
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Author: Ronald L. Shubert
Publisher:
ISBN: 9780030198496
Category : Statistics
Languages : en
Pages : 652
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Book Description
Author: Ronald L. Shubert
Publisher:
ISBN: 9780030198496
Category : Statistics
Languages : en
Pages : 652
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Book Description
Author: John D. Spurrier
Publisher: Duxbury Resource Center
ISBN:
Category : Business & Economics
Languages : en
Pages : 228
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Book Description
Capstone courses in statistics teach students how to apply their learned skills as if they were professional statisticians. It enables them to tie together ideas and methods from their undergraduate course work to solve problems. Students are presnted with a series of 'experiences.' They are required to work in teams to collect data, then individually to solve the problem and present written and oral reports. The 'experiences' expose students to additional challenges they might encounter on the job.
Author: Daren Starnes
Publisher: WH Freeman
ISBN: 9781464154010
Category : Mathematics
Languages : en
Pages :
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Book Description
The textbook provides a comprehensive guide to teaching AP® Statistics effectively for new and experienced teachers alike. The 5th edition offers an introduction with general advice for teaching AP® Statistics, a pacing guide for the chapter featuring Learning Objectives and suggested homework assignments, and other teaching resources. Features include Teaching Tips, notes about AP® Exam common errors and using the AP® Exam formula Sheet, and integrated notes on extra resources that are available.
Author: Bhisham C. Gupta
Publisher: John Wiley & Sons
ISBN: 1118789768
Category : Mathematics
Languages : en
Pages : 449
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Book Description
A solutions manual to accompany Statistics and Probability with Applications for Engineers and Scientists Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.
Author: Dan Yates
Publisher: Macmillan
ISBN: 9780716747734
Category : Mathematics
Languages : en
Pages : 936
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Book Description
Combining the strength of the data analysis approach and the power of technology, the new edition features powerful and helpful new media supplements, enhanced teacher support materials, and full integration of the TI-83 and TI-89 graphing calculators.
Author: Susan Cramer
Publisher:
ISBN: 9780072470864
Category : Commercial statistics
Languages : en
Pages : 242
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Book Description
Author: Trevor Hastie
Publisher: Springer Science & Business Media
ISBN: 0387216065
Category : Mathematics
Languages : en
Pages : 545
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Book Description
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Author: Daren S. Starnes
Publisher: Macmillan
ISBN: 142924559X
Category : Mathematics
Languages : en
Pages : 959
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Book Description
View a Panopto recording of textbook author Daren Starnes detailing ten reasons the new fourth edition of The Practice of Statistics is the right choice for the AP* Statistics course. Watch instructor video reviews here. Available for your Fall 2010 Course! Request Sample Chapter 3 here. The most thorough and exciting revision to date, The Practice of Statistics 4e is a text that fits all AP* Statistics classrooms. Authors Starnes, Yates and Moore drew upon the guidance of some of the most notable names in AP* and their students to create a text that fits today’s classroom. The new edition comes complete with new pedagogical changes, including built-in AP* testing, four-step examples, section summaries, “Check Your Understanding” boxes and more. The Practice of Statistics long stands as the only high school statistics textbook that directly reflects the College Board course description for AP* Statistics. Combining the data analysis approach with the power of technology, innovative pedagogy, and a number of new features, the fourth edition will provide you and your students with the most effective text for learning statistics and succeeding on the AP* Exam.
Author: Allan Bluman
Publisher: McGraw Hill
ISBN: 0077170482
Category : Mathematics
Languages : en
Pages : 907
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Book Description
Elementary Statistics: A step by step approach 9e
Author: Allan J. Rossman
Publisher: Springer Science & Business Media
ISBN: 147572926X
Category : Mathematics
Languages : en
Pages : 494
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Book Description
Shorn of all subtlety and led naked out of the protec tive fold of educational research literature, there comes a sheepish little fact: lectures don't work nearly as well as many of us would like to think. -George Cobb (1992) This book contains activities that guide students to discover statistical concepts, explore statistical principles, and apply statistical techniques. Students work toward these goals through the analysis of genuine data and through inter action with one another, with their instructor, and with technology. Providing a one-semester introduction to fundamental ideas of statistics for college and advanced high school students, Warkshop Statistics is designed for courses that employ an interactive learning environment by replacing lectures with hands on activities. The text contains enough expository material to stand alone, but it can also be used to supplement a more traditional textbook. Some distinguishing features of Workshop Statistics are its emphases on active learning, conceptual understanding, genuine data, and the use of technology. The following sections of this preface elaborate on each of these aspects and also describe the unusual organizational structure of this text.
