Statistic And Data Analysis

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An Introduction To Statistical Methods And Data Analysis

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Author : Lyman Ott
language : en
Publisher: Brooks/Cole
Release Date : 1977

An Introduction To Statistical Methods And Data Analysis written by Lyman Ott and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Mathematics categories.

Data Analysis And Regression

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Author : Frederick Mosteller
language : en
Publisher: Pearson
Release Date : 1977

Data Analysis And Regression written by Frederick Mosteller and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Mathematics categories.

Textbook on statistical analysis and data analysis - presents practical evaluation techniques, focusing on the computing and graphical fitting of regression. Bibliography after each chapter and statistical tables.

Statistical Data Analysis Handbook

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Author : Francis J. Wall
language : en
Publisher: McGraw-Hill Companies
Release Date : 1986

Statistical Data Analysis Handbook written by Francis J. Wall and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Mathematics categories.

It must be emphasized that this is not a text book on statistics. Instead it is a working tool that presents data analysis in clear, concise terms which can be readily understood even by those without formal training in statistics. Following pivotal chapters on the art of analysis, you will find two invaluable reference sections to which you're bound to turn again and again as you make your analyses. The first section gives you the data analyst's-as opposed to the statistician's-eyeview of the basics of a number of fundamental statistical techniques, including random samples, p-values, the analysis of variance, statistical tests, and testing. The second gives you 20 statistical tables that have been especially formatted and expanded to make them far easier to read and apply than conventional statistical tables.

Statistics Data Analysis And Decision Modeling

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Author : James Robert Evans
language : en
Publisher: Prentice Hall
Release Date : 2007

Statistics Data Analysis And Decision Modeling written by James Robert Evans and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Business & Economics categories.

This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and production data already formatted on Excel worksheets. This shows how real data is used and decisions are made. Using Excel as the basic software, and including such add-ins as PHStat2, Crystal Ball, and TreePlan, this book covers a wide variety of topics related to business statistics: statistical thinking in business; displaying and summarizing data; random variables; sampling; regression analysis; forecasting; statistical quality control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization modeling; and solving and analyzing optimization models. For those employed in the fields of quality control, management science, operations management, statistical science, and those who need to interpret data to make informed business decisions.

Statistics 101

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Author : David Borman
language : en
Publisher: Simon and Schuster
Release Date : 2018-12-18

Statistics 101 written by David Borman and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-18 with Mathematics categories.

A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age of the internet and social media, we’re responsible for consuming, evaluating, and analyzing data on a daily basis. From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you’ll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun. Whether you are a student looking to supplement your learning, a worker hoping to better understand how statistics works for your job, or a lifelong learner looking to improve your grasp of the world, Statistics 101 has you covered.

Statistical Data Analysis

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Author :
language : en
Publisher: Pathways to Higher Education
Release Date :

Statistical Data Analysis written by and has been published by Pathways to Higher Education this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

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 Statistics And Data Analysis

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Author : Christian Heumann
language : en
Publisher: Springer
Release Date : 2017-03-22

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 2017-03-22 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.

Statistical Techniques For Data Analysis

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Author : John K. Taylor
language : en
Publisher: CRC Press
Release Date : 1990-10-24

Statistical Techniques For Data Analysis written by John K. Taylor and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-10-24 with Mathematics categories.

Statistical Techniques for Data Analysis is a concise book that outlines the "practical" approach to data analysis and emphasizes the application of statistics. The book provides a basic understanding of statistical principles while explaining the use of statistics in data-based decision making. The information provided will allow you to maintain excellent quality assurance of measurements through statistical control. Statistical Techniques for Data Analysis is valuable for everyone who produces, uses, or evaluates scientific data, including analytical chemists, researchers, laboratory managers, and technicians. The book also may be used as a text in introductory courses to statistical analysis or as a supplement to undergraduate and graduate students.

Data Analysis

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Author : BISHNU, PARTHA SARATHI
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date :

Data Analysis written by BISHNU, PARTHA SARATHI and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Data Analysis Using Statistics and Probability with R Language is a complete introduction to data analysis. It provides a sound understanding of the foundations of the data analysis, in addition to covering many important advanced topics. Moreover, all the techniques have been implemented using R language as well as Excel. This book is intended for the undergraduate and postgraduate students of Management and Engineering disciplines. It is also useful for research scholars. KEY FEATURES 1. Covers data analysis topics such as: • Descriptive statistics like mean, median, mode, standard deviation, skewness, kurtosis, correlation and regression • Probability and probability distribution • Inferential statistics like estimation of parameters, hypothesis testing, ANOVA test, chi-square and t-test • Statistical quality control, time series analysis, statistical decision theory • Explorative data analysis like clustering and classification • Advanced techniques like conjoint analysis, panel data analysis, and logistic regression analysis 2. Comprises 12 chapters which include examples, solved problems, review questions and unsolved problems. 3. Requires no programming background and can be used to understand theoretical concepts also by skipping programming. 4. R and Excel implementations, and additional advanced topics are available at https://phindia.com/partha_sarathi_ bishnu_ and_vandana_bhattacherjee 5. Whenever in any branch, data analysis technique is required, this book is the best. TARGET AUDIENCE • Students of MBA, ME/M.Tech, and BE/B.Tech. • M.Sc. (Computer Science), MCA, BCA, and research scholars