Introduction To Statistical Data Processing

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Introduction To Statistics And Data Analysis

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Author : Christian Heumann
language : en
Publisher: Springer
Release Date : 2017-01-26

Introduction To Statistics And Data Analysis written by Christian Heumann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-26 with Mathematics categories.

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. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. 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 all methods to their own applications.

Introduction To Statistical Data Analysis For The Life Sciences

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Author : Claus Thorn Ekstrøm
language : en
Publisher: CRC Press, is
Release Date : 2011

Introduction To Statistical Data Analysis For The Life Sciences written by Claus Thorn Ekstrøm and has been published by CRC Press, is this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Life sciences categories.

Any practical introduction to statistics in the life sciences requires a focus on applications and computational statistics combined with a reasonable level of mathematical rigor. It must offer the right combination of data examples, statistical theory, and computing required for analysis today. And it should involve R software, the lingua franca of statistical computing.Introduction to Statistical Data Analysis for the Life Sciences covers all the usual material but goes further than other texts to emphasize:Both data analysis and the mathematics underlying classical statistical analysis Mode.

Introduction To Statistical Data Processing

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Author : Theodor D. Sterling
language : en
Publisher:
Release Date : 1970

Introduction To Statistical Data Processing written by Theodor D. Sterling and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with categories.

An Introduction To Statistics And Data Analysis Using Stata

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Author : Lisa Daniels
language : en
Publisher: SAGE Publications
Release Date : 2019-01-11

An Introduction To Statistics And Data Analysis Using Stata written by Lisa Daniels and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-11 with Social Science categories.

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.

Introduction To Statistical Data Processing

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Author : Sterling & Pollack
language : en
Publisher:
Release Date : 1969

Introduction To Statistical Data Processing written by Sterling & Pollack and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with categories.

Introduction To Statistics And Data Analysis

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Author :
language : en
Publisher:
Release Date : 2016

Introduction To Statistics And Data Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Statistics categories.

Introduction To Statistical Data Analysis For The Life Sciences

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Author : Claus Thorn Ekstrøm
language : en
Publisher:
Release Date : 2009

Introduction To Statistical Data Analysis For The Life Sciences written by Claus Thorn Ekstrøm and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.

An Introduction To Statistics With Python

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Author : Thomas Haslwanter
language : en
Publisher: Springer Nature
Release Date : 2022-11-15

An Introduction To Statistics With Python written by Thomas Haslwanter and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-15 with Computers categories.

Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. For this new edition, the introductory chapters on Python, data input and visualization have been reworked and updated. The chapter on experimental design has been expanded, and programs for the determination of confidence intervals commonly used in quality control have been introduced. The book also features a new chapter on finding patterns in data, including time series. A new appendix describes useful programming tools, such as testing tools, code repositories, and GUIs. The provided working code for Python solutions, together with easy-to-follow examples, will reinforce the reader’s immediate understanding of the topic. Accompanying data sets and Python programs are also available online. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis. With examples drawn mainly from the life and medical sciences, this book is intended primarily for masters and PhD students. As it provides the required statistics background, the book can also be used by anyone who wants to perform a statistical data analysis.

An Introduction To Statistics Using Microsoft Excel

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Author : D. Remenyi
language : en
Publisher: Academic Conferences Limited
Release Date : 2010

An Introduction To Statistics Using Microsoft Excel written by D. Remenyi and has been published by Academic Conferences Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Electronic spreadsheets categories.

To help new researchers use statistics from simple descriptive statistics through to the power of inferential statistics. The book is a step by step guide which makes no assumptions about prior knowledge of the subject. There are many worked examples and appropriate diagrams and figures. As Excel functions are used in the exploration of statistics very few mathematical equations are needed. The book contains numerous self tests, exercises and assignments and appropriate solutions are available on the web. This makes the book both student and teacher friendly.

Encyclopedia Of Statistical Sciences Multivariate Analysis To Plackett And Burman Designs

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Author : Campbell B. Read
language : en
Publisher: Wiley-Interscience
Release Date : 1985-08-07

Encyclopedia Of Statistical Sciences Multivariate Analysis To Plackett And Burman Designs written by Campbell B. Read and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-08-07 with Mathematics categories.

Brings together, in a ready-access encyclopedic format, theories, methods, applications and historical background in the statistical sciences. More than 4 000 entries by leading statisticians, mathematicians, educators and major figures in the development of statistics cover all principle subfields including probability theory, statistical distribution theory, computational methods, sampling survey methods, decision theory, sequential analysis and multivariable analysis. The book is also fully indexed.