Introduction to Statistics and Data Analysis (AP® Edition) PDF Download

Author: Christian Heumann
Publisher: Springer Nature
ISBN: 3031118332
Category : Mathematics
Languages : en
Pages : 584

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Book Description
Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference. The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications.

Author: Myers
Publisher:
ISBN: 9780840068415
Category :
Languages : en
Pages : 912

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Book Description
Roxy Peck, Chris Olsen, and Jay Devore's new edition uses real data and attention-grabbing examples to introduce students to the study of statistics and data analysis. Traditional in structure yet modern in approach, this text guides students through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including the frequent substitution of words for symbols--helps students grasp concepts and cement their comprehension. Hands-on activities and interactive applets allow students to practice statistics firsthand. INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 4th Edition, includes updated coverage of the graphing calculator as well as expanded coverage of probability.

Author: Roxy Peck
Publisher: Cengage Learning
ISBN: 1133171729
Category : Mathematics
Languages : en
Pages : 952

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Book Description
INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 4th Edition, 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 the frequent substitution of words for symbols--helps you grasp concepts and cement your comprehension. You'll also find coverage of the graphing calculator as a problem-solving tool, plus hands-on activities in each chapter that allow you to practice statistics firsthand. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Author: Roxy Peck
Publisher: Duxbury Resource Center
ISBN:
Category : Statistics
Languages : en
Pages : 872

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Book Description
Chris Olsen has teamed up with Roxy Peck and Jay Devore to create INTRODUCTION TO STATISTICS AND DATA ANALYSIS. Based on STATISTICS: THE EXPLORATION OF ANALYSIS AND DATA, Fourth Edition, this new book integrates the graphing calculator and includes expanded coverage of probability. This innovative book focuses on the analysis of real data to motivate the study of statistics. Traditional in structure yet modern in approach, this book places an increased emphasis on data collection and exploratory analysis.

Author: Roxy Peck
Publisher: Cengage Learning
ISBN: 9781439047491
Category : Mathematics
Languages : en
Pages : 896

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Book Description
Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Author: Cram101 Textbook Reviews Staff
Publisher:
ISBN: 9781497043640
Category :
Languages : en
Pages : 124

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Book Description

Author: Jim Frost
Publisher: Statistics By Jim Publishing
ISBN: 9781735431109
Category : Mathematics
Languages : en
Pages : 256

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Book Description
Learn statistics without fear! Build a solid foundation in data analysis. Be confident that you understand what your data are telling you and that you can explain the results to others! I'll help you intuitively understand statistics by using simple language and deemphasizing formulas. This guide starts with an overview of statistics and why it is so important. We proceed to essential statistical skills and knowledge about different types of data, relationships, and distributions. Then we move to using inferential statistics to expand human knowledge, how it fits into the scientific method, and how to design and critique experiments. Learn the fundamentals of statistics. Why is the field of statistics so vital in our data-driven society? Interpret graphs and summary statistics. Find relationships between different types of variables. Understand the properties of data distributions. Use measures of central tendency and variability. Interpret correlations and percentiles. Use probability distributions to calculate probabilities. Learn about the normal distribution and the binomial distributions in depth. Grasp the differences between descriptive and inferential statistics. Use data collection methodologies properly and understand sample size considerations. Critique scientific experiments-whether it's your own or another researcher's.

Author: Lyman Ott
Publisher: Brooks/Cole
ISBN:
Category : Mathematics
Languages : en
Pages : 752

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Book Description

Author: Douglas S. Shafer
Publisher:
ISBN: 9781453388945
Category : Mathematical statistics
Languages : en
Pages : 0

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Book Description

Author: Peter C. Bruce
Publisher: John Wiley & Sons
ISBN: 1118881338
Category : Mathematics
Languages : en
Pages : 320

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Book Description
Concise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrap A uniquely developed presentation of key statistical topics, Introductory Statistics and Analytics: A Resampling Perspective provides an accessible approach to statistical analytics, resampling, and the bootstrap for readers with various levels of exposure to basic probability and statistics. Originally class-tested at one of the first online learning companies in the discipline, www.statistics.com, the book primarily focuses on applications of statistical concepts developed via resampling, with a background discussion of mathematical theory. This feature stresses statistical literacy and understanding, which demonstrates the fundamental basis for statistical inference and demystifies traditional formulas. The book begins with illustrations that have the essential statistical topics interwoven throughout before moving on to demonstrate the proper design of studies. Meeting all of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) requirements for an introductory statistics course, Introductory Statistics and Analytics: A Resampling Perspective also includes: Over 300 “Try It Yourself” exercises and intermittent practice questions, which challenge readers at multiple levels to investigate and explore key statistical concepts Numerous interactive links designed to provide solutions to exercises and further information on crucial concepts Linkages that connect statistics to the rapidly growing field of data science Multiple discussions of various software systems, such as Microsoft Office Excel®, StatCrunch, and R, to develop and analyze data Areas of concern and/or contrasting points-of-view indicated through the use of “Caution” icons Introductory Statistics and Analytics: A Resampling Perspective is an excellent primary textbook for courses in preliminary statistics as well as a supplement for courses in upper-level statistics and related fields, such as biostatistics and econometrics. The book is also a general reference for readers interested in revisiting the value of statistics.