An Introduction to Statistical Methods and Data Analysis PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download An Introduction to Statistical Methods and Data Analysis PDF full book. Access full book title An Introduction to Statistical Methods and Data Analysis by R. Lyman Ott. Download full books in PDF and EPUB format.
Author: R. Lyman Ott Publisher: Cengage Learning ISBN: 0495017582 Category : Mathematics Languages : en Pages : 1303
Book Description
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and in news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: R. Lyman Ott Publisher: Cengage Learning ISBN: 0495017582 Category : Mathematics Languages : en Pages : 1303
Book Description
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and in news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: R. Lyman Ott Publisher: ISBN: 9781305269484 Category : Foreign Language Study Languages : en Pages : 256
Book Description
Contains fully worked-out solutions to all of the odd-numbered exercises in the text, giving students a way to check their answers and ensure that they took the correct steps to arrive at an answer.
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: 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: 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: Micheal Longnecker Publisher: ISBN: 9780357670620 Category : Languages : en Pages : 1296
Book Description
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments.
Author: R. Lyman Ott
Author: R. Lyman Ott
Author: Lyman Ott
Author: R. Lyman Ott
Author: Christian Heumann
Author: Michael Longnecker
Author: Theodore Wilbur Anderson
Author: Maurits Kaptein
Author: Andrew F. Siegel
Author: Lisa Daniels
Author: Micheal Longnecker