Elementary Statistics Using Jmp

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Elementary Statistics Using JMP

Sandra D. Schlotzhauer
Elementary Statistics Using JMP Book PDF

Author : Sandra D. Schlotzhauer
Publisher : SAS Press
Page : 458 pages
File Size : 46,5 Mb
Release : 2007
Category : Computers
ISBN : 1599943751

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Elementary Statistics Using JMP by Sandra D. Schlotzhauer Pdf

Learn how to perform basic statistical analyses using the powerful JMP software. Elementary Statistics Using JMP bridges the gap between statistics texts and JMP documentation. Author Sandra Schlotzhauer opens with an explanation of the basics of JMP data tables, demonstrating how to use JMP for descriptive statistics and graphs. The author continues with a lucid discussion of fundamental statistical concepts, including normality and hypothesis testing. Using a step-by-step approach, she shows analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, the author clearly explains assumptions, the statistical approach, the JMP steps and results, and how to make conclusions from the results. Statistical methods include: *histograms, box plots, descriptive statistics, stem-and-leaf plots *mosaic plots, bar charts, and treemaps *t-tests and Wilcoxon tests to compare two independent or paired groups *one-way ANOVA and Kruskal-Wallis tests, and selected multiple comparison techniques *Pearson and Spearman correlation coefficients *regression models for lines, curves, and multiple variables *residuals plots and lack-of-fit tests for regression *Chi-square tests, Fisher's Exact test, and measures of association for contingency tables. Understand how to interpret both the graphs and text reports, as well as how to customize JMP results to meet your needs. Packed with examples from a broad range of industries, this text is ideal for novice to intermediate JMP users. Prior statistical knowledge, JMP experience, or programming skills are not required.

Teaching Elementary Statistics with JMP

Chris Olsen,SAS Institute
Teaching Elementary Statistics with JMP Book PDF

Author : Chris Olsen,SAS Institute
Publisher : Unknown
Page : 0 pages
File Size : 50,6 Mb
Release : 2011
Category : Electronic books
ISBN : 1607646684

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Teaching Elementary Statistics with JMP by Chris Olsen,SAS Institute Pdf

Includes bibliographical references and index.

Fundamentals of Predictive Analytics with JMP, Second Edition

Ron Klimberg,B. D. McCullough
Fundamentals of Predictive Analytics with JMP Second Edition Book PDF

Author : Ron Klimberg,B. D. McCullough
Publisher : SAS Institute
Page : 532 pages
File Size : 53,9 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781629608013

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Fundamentals of Predictive Analytics with JMP, Second Edition by Ron Klimberg,B. D. McCullough Pdf

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP(R) bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the theoretical foundation, this book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis. First, this book teaches you to recognize when it is appropriate to use a tool, what variables and data are required, and what the results might be. Second, it teaches you how to interpret the results and then, step-by-step, how and where to perform and evaluate the analysis in JMP . Using JMP 13 and JMP 13 Pro, this book offers the following new and enhanced features in an example-driven format: an add-in for Microsoft Excel Graph Builder dirty data visualization regression ANOVA logistic regression principal component analysis LASSO elastic net cluster analysis decision trees k-nearest neighbors neural networks bootstrap forests boosted trees text mining association rules model comparison With today’s emphasis on business intelligence, business analytics, and predictive analytics, this second edition is invaluable to anyone who needs to expand his or her knowledge of statistics and to apply real-world, problem-solving analysis. This book is part of the SAS Press program.

JMP Start Statistics

John Sall,Mia L. Stephens,Ann Lehman,Sheila Loring
JMP Start Statistics Book PDF

Author : John Sall,Mia L. Stephens,Ann Lehman,Sheila Loring
Publisher : SAS Institute
Page : 660 pages
File Size : 46,9 Mb
Release : 2017-02-21
Category : Computers
ISBN : 9781629608761

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JMP Start Statistics by John Sall,Mia L. Stephens,Ann Lehman,Sheila Loring Pdf

This book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. Updated for JMP 13, JMP Start Statistics, Sixth Edition includes many new features, including: The redesigned Formula Editor. New and improved ways to create formulas in JMP directly from the data table or dialogs. Interface updates, including improved menu layout. Updates and enhancements in many analysis platforms. New ways to get data into JMP and to save and share JMP results. Many new features that make it easier to use JMP.

Statistical Analysis for Business Using JMP

Willbann D. Terpening
Statistical Analysis for Business Using JMP Book PDF

Author : Willbann D. Terpening
Publisher : Unknown
Page : 0 pages
File Size : 55,6 Mb
Release : 2011
Category : Commercial statistics
ISBN : 1607644762

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Statistical Analysis for Business Using JMP by Willbann D. Terpening Pdf

Statistical Analysis for Business Using JMP: A Student's Guide by Willbann D. Terpening is a complete and thorough introduction to business statistics using JMP. While designed for introductory business statistics courses at the undergraduate or MBA level, industry professionals wanting to brush up on their knowledge of statistics and those wanting an introduction to using JMP for statistical analysis will also find the book useful. The book starts with an introduction to using JMP in statistical analysis, basic descriptive statistics and graphical analysis, and the fundamentals of inferential statistics. The book then covers more advanced topics in inferential statistics organized around the analysis platforms of JMP. Topics include the effects of a qualitative variable on a quantitative variable (two group tests and analysis of variance), the effects of a qualitative variable on a qualitative variable (chi-square and contingency tables), the effects of a quantitative variable on a quantitative variable (simple regression and correlation), and the effects of a quantitative variable on a qualitative variable (logistic and multinomial regression). The final chapter provides an introduction to multivariate statistics and multiple regression.

Statistics and Probability with Applications for Engineers and Scientists

Bhisham C. Gupta,Irwin Guttman
Statistics and Probability with Applications for Engineers and Scientists Book PDF

Author : Bhisham C. Gupta,Irwin Guttman
Publisher : John Wiley & Sons
Page : 896 pages
File Size : 48,9 Mb
Release : 2013-04-29
Category : Mathematics
ISBN : 9781118464045

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Statistics and Probability with Applications for Engineers and Scientists by Bhisham C. Gupta,Irwin Guttman Pdf

Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

Biostatistics Using JMP

Trevor Bihl
Biostatistics Using JMP Book PDF

Author : Trevor Bihl
Publisher : SAS Institute
Page : 356 pages
File Size : 49,9 Mb
Release : 2017-10-03
Category : Computers
ISBN : 9781635262414

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Biostatistics Using JMP by Trevor Bihl Pdf

Analyze your biostatistics data with JMP! Trevor Bihl's Biostatistics Using JMP: A Practical Guide provides a practical introduction on using JMP, the interactive statistical discovery software, to solve biostatistical problems. Providing extensive breadth, from summary statistics to neural networks, this essential volume offers a comprehensive, step-by-step guide to using JMP to handle your data. The first biostatistical book to focus on software, Biostatistics Using JMP discusses such topics as data visualization, data wrangling, data cleaning, histograms, box plots, Pareto plots, scatter plots, hypothesis tests, confidence intervals, analysis of variance, regression, curve fitting, clustering, classification, discriminant analysis, neural networks, decision trees, logistic regression, survival analysis, control charts, and metaanalysis. Written for university students, professors, those who perform biological/biomedical experiments, laboratory managers, and research scientists, Biostatistics Using JMP provides a practical approach to using JMP to solve your biostatistical problems.

JMP Start Statistics

John Sall,Ann Lehman
JMP Start Statistics Book PDF

Author : John Sall,Ann Lehman
Publisher : Duxbury Resource Center
Page : 0 pages
File Size : 50,6 Mb
Release : 1996
Category : Comptuer graphics
ISBN : 0534265650

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JMP Start Statistics by John Sall,Ann Lehman Pdf

This complete data-analysis program combines outstanding graphics and amazing data analytics. JMP-IN's spreadsheets, data tables, and graphing capabilities are designed to help the student learn important statistics concepts while it handles all calculations.

Introduction to Biostatistics with JMP

Steve Figard
Introduction to Biostatistics with JMP Book PDF

Author : Steve Figard
Publisher : SAS Institute
Page : 229 pages
File Size : 49,9 Mb
Release : 2019-10-04
Category : Computers
ISBN : 9781635267181

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Introduction to Biostatistics with JMP by Steve Figard Pdf

Explore biostatistics using JMP® in this refreshing introduction Presented in an easy-to-understand way, Introduction to Biostatistics with JMP® introduces undergraduate students in the biological sciences to the most commonly used (and misused) statistical methods that they will need to analyze their experimental data using JMP. It covers many of the basic topics in statistics using biological examples for exercises so that the student biologists can see the relevance to future work in the problems addressed. The book starts by teaching students how to become confident in executing the right analysis by thinking like a statistician then moves into the application of specific tests. Using the powerful capabilities of JMP, the book addresses problems requiring analysis by chi-square tests, t tests, ANOVA analysis, various regression models, DOE, and survival analysis. Topics of particular interest to the biological or health science field include odds ratios, relative risk, and survival analysis. The author uses an engaging, conversational tone to explain concepts and keep readers interested in learning more. The book aims to create bioscientists who can competently incorporate statistics into their investigative toolkits to solve biological research questions as they arise.

Practical Data Analysis with JMP, Third Edition

Robert Carver
Practical Data Analysis with JMP Third Edition Book PDF

Author : Robert Carver
Publisher : SAS Institute
Page : 510 pages
File Size : 54,8 Mb
Release : 2019-10-18
Category : Computers
ISBN : 9781642956122

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Practical Data Analysis with JMP, Third Edition by Robert Carver Pdf

Master the concepts and techniques of statistical analysis using JMP Practical Data Analysis with JMP, Third Edition, highlights the powerful interactive and visual approach of JMP to introduce readers to statistical thinking and data analysis. It helps you choose the best technique for the problem at hand by using real-world cases. It also illustrates best-practice workflow throughout the entire investigative cycle, from asking valuable questions through data acquisition, preparation, analysis, interpretation, and communication of findings. The book can stand on its own as a learning resource for professionals, or it can be used to supplement a college-level textbook for an introductory statistics course. It includes varied examples and problems using real sets of data. Each chapter typically starts with an important or interesting research question that an investigator has pursued. Reflecting the broad applicability of statistical reasoning, the problems come from a wide variety of disciplines, including engineering, life sciences, business, and economics, as well as international and historical examples. Application Scenarios at the end of each chapter challenge you to use your knowledge and skills with data sets that go beyond mere repetition of chapter examples. New in the third edition, chapters have been updated to demonstrate the enhanced capabilities of JMP, including projects, Graph Builder, Query Builder, and Formula Depot.

Data Management and Analysis Using JMP

Jane E Oppenlander,Patricia Schaffer
Data Management and Analysis Using JMP Book PDF

Author : Jane E Oppenlander,Patricia Schaffer
Publisher : SAS Institute
Page : 250 pages
File Size : 41,5 Mb
Release : 2017-10-17
Category : Computers
ISBN : 9781629605401

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Data Management and Analysis Using JMP by Jane E Oppenlander,Patricia Schaffer Pdf

A holistic, step-by-step approach to analyzing health care data! Written for both beginner and intermediate JMP users working in or studying health care, Data Management and Analysis Using JMP: Health Care Case Studies bridges the gap between taking traditional statistics courses and successfully applying statistical analysis in the workplace. Authors Jane Oppenlander and Patricia Schaffer begin by illustrating techniques to prepare data for analysis, followed by presenting effective methods to summarize, visualize, and analyze data. The statistical analysis methods covered in the book are the foundational techniques commonly applied to meet regulatory, operational, budgeting, and research needs in the health care field. This example-driven book shows practitioners how to solve real-world problems by using an approach that includes problem definition, data management, selecting the appropriate analysis methods, step-by-step JMP instructions, and interpreting statistical results in context. Practical strategies for selecting appropriate statistical methods, remediating data anomalies, and interpreting statistical results in the domain context are emphasized. The cases presented in Data Management and Analysis Using JMP use multiple statistical methods. A progression of methods--from univariate to multivariate--is employed, illustrating a logical approach to problem-solving. Much of the data used in these cases is open source and drawn from a variety of health care settings. The book offers a welcome guide to working professionals as well as students studying statistics in health care-related fields.

JMP for Basic Univariate and Multivariate Statistics

Ann Lehman,Norm O'Rourke,Larry Hatcher,Edward Stepanski
JMP for Basic Univariate and Multivariate Statistics Book PDF

Author : Ann Lehman,Norm O'Rourke,Larry Hatcher,Edward Stepanski
Publisher : SAS Institute
Page : 559 pages
File Size : 53,8 Mb
Release : 2013
Category : Computers
ISBN : 9781612906034

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JMP for Basic Univariate and Multivariate Statistics by Ann Lehman,Norm O'Rourke,Larry Hatcher,Edward Stepanski Pdf

Learn how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields with JMP for Basic Univariate and Multivariate Statistics: Methods for Researchers and Social Scientists, Second Edition. Updated for JMP 10 and including new features on the statistical platforms, this book offers clearly written instructions to guide you through the basic concepts of research and data analysis, enabling you to easily perform statistical analyses and solve problems in real-world research. Step by step, you'll discover how to obtain descriptive and inferential statistics, summarize results clearly in a way that is suitable for publication, perform a wide range of JMP analyses, interpret the results, and more. Topics include screening data for errors selecting subsets computing the coefficient alpha reliability index (Cronbach's alpha) for a multiple-item scale performing bivariate analyses for all types of variables performing a one-way analysis of variance (ANOVA), multiple regression, and a one-way multivariate analysis of variance (MANOVA) Advanced topics include analyzing models with interactions and repeated measures. There is also comprehensive coverage of principle components with emphasis on graphical interpretation. This user-friendly book introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while the more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.

JMP Start Statistics

John Sall,Mia L. Stephens,Ann Lehman,Sheila Loring
JMP Start Statistics Book PDF

Author : John Sall,Mia L. Stephens,Ann Lehman,Sheila Loring
Publisher : SAS Institute
Page : 660 pages
File Size : 48,5 Mb
Release : 2017-02-21
Category : Computers
ISBN : 9781629608785

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JMP Start Statistics by John Sall,Mia L. Stephens,Ann Lehman,Sheila Loring Pdf

This book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. Updated for JMP 13, JMP Start Statistics, Sixth Edition includes many new features, including: The redesigned Formula Editor. New and improved ways to create formulas in JMP directly from the data table or dialogs. Interface updates, including improved menu layout. Updates and enhancements in many analysis platforms. New ways to get data into JMP and to save and share JMP results. Many new features that make it easier to use JMP.

Practical Data Analysis with JMP

Robert Carver,SAS Institute
Practical Data Analysis with JMP Book PDF

Author : Robert Carver,SAS Institute
Publisher : SAS Press
Page : 0 pages
File Size : 42,6 Mb
Release : 2010
Category : JMP (Computer file)
ISBN : 1607644754

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Practical Data Analysis with JMP by Robert Carver,SAS Institute Pdf

"Practical Data Analysis with JMP" uses the powerful interactive and visual approach of JMP to introduce readers to the logic and methods of statistical thinking and data analysis. The book can stand on its own or be used to supplement a standard introduction-to-statistics textbook.

Statistical Quality Control

Bhisham C. Gupta
Statistical Quality Control Book PDF

Author : Bhisham C. Gupta
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 55,9 Mb
Release : 2021-07-23
Category : Technology & Engineering
ISBN : 9781119671725

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Statistical Quality Control by Bhisham C. Gupta Pdf

STATISTICAL QUALITY CONTROL Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide also Focuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the field Discusses aspects of Six Sigma Methodology Teaches readers to use MINITAB, R, JMP and Python to create and analyze charts Requires no previous knowledge of statistical theory Is supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems Statistical Quality Control: Using MINITAB, R, JMP and Python is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It‘s also useful for those who use Six Sigma techniques to improve the quality of products in such areas.