Introduction to Statistics and Data Analysis PDF Download

Author: Roxy Peck
Publisher:
ISBN: 9789814878135
Category : Mathematical statistics
Languages : en
Pages : 0

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Book Description

Author: Roxy Peck
Publisher:
ISBN: 9781337794176
Category : Mathematics
Languages : en
Pages : 0

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Book Description
Contains fully worked-out solutions to all of the odd-numbered exercises in the text, giving you a way to check your answers.

Author: Roxy Peck
Publisher:
ISBN: 9781305649835
Category : Mathematics
Languages : en
Pages : 844

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Book Description
INTRODUCTION TO STATISTICS AND DATA ANALYSIS introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including frequent substitution of words for symbols--helps you grasp concepts and cement your comprehension. You'll also find coverage of most major technologies as a problem-solving tool, plus hands-on activities in each chapter that allow you to practice statistics firsthand.

Author: Roxy Peck
Publisher:
ISBN: 9781305265820
Category :
Languages : en
Pages : 0

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Containing fully worked-out solutions to all of the odd-numbered exercises in the text, this manual gives you a way to check your answers and ensure that you have taken the correct steps to arrive at an answer.

Author: Kathryn Kozak
Publisher: Lulu.com
ISBN: 1329757254
Category : Education
Languages : en
Pages : 459

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Book Description
Statistics With Technology, Second Edition, is an introductory statistics textbook. It uses the TI-83/84 calculator and R, an open source statistical software, for all calculations. Other technology can also be used besides the TI-83/84 calculator and the software R, but these are the ones that are presented in the text. This book presents probability and statistics from a more conceptual approach, and focuses less on computation. Analysis and interpretation of data is more important than how to compute basic statistical values.

Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 1119657113
Category : Einführung
Languages : en
Pages : 773

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"Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--

Author: Olsen Peck
Publisher:
ISBN: 9781285085241
Category : Mathematical statistics
Languages : en
Pages : 848

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Book Description

Author: R. Lyman Ott
Publisher: Cengage Learning
ISBN: 9780495109150
Category : Probabilities
Languages : en
Pages : 0

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Book Description
Provides worked-out solutions to odd-numbered exercises.

Author: Roxy Peck
Publisher: SIAM
ISBN: 0898714133
Category : Mathematics
Languages : en
Pages : 308

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Book Description
This book contains 20 case studies that use actual data sets that have not been simplified for classroom use.

Author: Maurizio Petrelli
Publisher: Springer Nature
ISBN: 3030780554
Category : Science
Languages : en
Pages : 229

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Book Description
This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.