Author: Christian Heumann Publisher: Springer Nature ISBN: 3031118332 Category : Mathematics Languages : en Pages : 584
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: Roxy Peck Publisher: Duxbury Resource Center ISBN: Category : Statistics Languages : en Pages : 872
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: Myers Publisher: ISBN: 9780840068415 Category : Languages : en Pages : 912
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: Andrew F. Siegel Publisher: ISBN: 9780471307310 Category : Statistics Languages : en Pages : 635
Book Description
This study guide accompanies a textbook which combines the traditional foundations of statistical methods with the more modern ideas of data analysis. It includes a range of problems that are both straightforward and challenging.
Author: Lisa Daniels Publisher: SAGE Publications ISBN: 1506371825 Category : Social Science Languages : en Pages : 513
Book Description
An Introduction to Statistics and Data Analysis Using Stata® by Lisa Daniels and Nicholas Minot provides a step-by-step introduction for statistics, data analysis, or research methods classes with Stata. Concise descriptions emphasize the concepts behind statistics for students rather than the derivations of the formulas. With real-world examples from a variety of disciplines and extensive detail on the commands in Stata, this text provides an integrated approach to research design, statistical analysis, and report writing for social science students.
Author: Maurits Kaptein Publisher: Springer Nature ISBN: 3030105318 Category : Computers Languages : en Pages : 342
Book Description
This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.
Author: Frederick Mosteller Publisher: Courier Corporation ISBN: 0486782255 Category : Mathematics Languages : en Pages : 608
Book Description
This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 edition.
Author: Christian Heumann
Author: Lyman Ott
Author: Roxy Peck
Author: Myers
Author: Andrew F. Siegel
Author: Lisa Daniels
Author: Maurits Kaptein
Author: Cram101 Textbook Reviews Staff
Author: Frederick Mosteller
Author: Roxy Peck