Normality Testing In Excel The Excel Statistical Master

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Normality Testing in Excel - The Excel Statistical Master

Author : Mark Harmon
Publisher : Mark Harmon
ISBN 13 : 0983307059
Total Pages : 54 pages
Book Rating : 4.9/5 (833 download)

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Book Synopsis Normality Testing in Excel - The Excel Statistical Master by : Mark Harmon

Download or read book Normality Testing in Excel - The Excel Statistical Master written by Mark Harmon and published by Mark Harmon. This book was released on 2011-02-18 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: 50 pages of complete step-by-step instructions showing how to perform a number of well-known Normality tests and how to do them all in Excel. This e-manual will make you an expert on knowing exactly how and when to use these types of Normality tests: the Histogram, the Normal Probability Plot using 2 different methods, and the Chi-Square Goodness-Of-Fit Test, and how to set them all up in Excel. This e-manual is loaded with completed problems and step-by-step, easy-to-follow screenshots in Excel of all these different types of Normality tests. The instructions are clear and easy-to-follow but at the graduate level. If you are currently taking a difficult graduate-level statistics course that covers Normality testing, you will find this e-manual to be an outstanding course supplement that will explain Normality tests much more clearly than your textbook does. If you are a business manager, you will really appreciate how easily and clearly this e-manual will show you how you can perform these useful and quick Normality tests in Excel to verify data distributions on your job. Normality testing should always be performed before any of the widely-used parametric statistical tests are applied to data. Not many know how to do Normality testing. This e-manual will make you an Excel Statistical Master of Normality testing.

Nonparametric Testing in Excel - The Excel Statistical Master

Author : Mark Harmon
Publisher : Mark Harmon
ISBN 13 : 0983307040
Total Pages : pages
Book Rating : 4.9/5 (833 download)

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Book Synopsis Nonparametric Testing in Excel - The Excel Statistical Master by : Mark Harmon

Download or read book Nonparametric Testing in Excel - The Excel Statistical Master written by Mark Harmon and published by Mark Harmon. This book was released on 2011-02-18 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 69 pages of complete step-by-step instructions showing how to perform nearly every major type of nonparametric test and how to do them all in Excel. This e-manual will make you an expert on knowing exactly how and when to use and set up in Excel all types of nonparametric tests, such as the Mann Whitney U Test, the Kruskall Wallis Test, the Wilcoxon Rank Sum Test for both large and small samples, the Spearman Correlation Coefficient Test, the Sign Test, and the Wilcoxon Signed Rank Test for both large and small samples. This e-manual is loaded with completed examples and screenshots in Excel of all the above of nonparametric tests being performed. The instructions are clear and easy-to-follow but at the graduate level. If you are currently taking a difficult graduate-level statistics course that covers nonparametric or normality tests, you will find this e-manual to be an outstanding course supplement that will explain nonparametric tests much more clearly than your textbook does. If you are a business manager, you will really appreciate how easily and clearly this e-manual will show you how you can perform nonparametric tests in Excel to solve difficult statistical problems on your job. Nonparametric tests are the most important of all statistical tests in business, but are not widely understood. Nonparametric testing must nearly always be performed in place of most well-known statistics tests when it is not known that samples are being taken from a normally distributed population. This is more often the case than not, yet not many people have a working knowledge of nonparametric testing. You will. This e-manual will make you an Excel Statistical Master of nonparametric testing.

Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master

Author : Mark Harmon
Publisher : Mark Harmon
ISBN 13 : 0983307083
Total Pages : pages
Book Rating : 4.9/5 (833 download)

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Book Synopsis Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master by : Mark Harmon

Download or read book Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master written by Mark Harmon and published by Mark Harmon. This book was released on 2011-03-16 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Complete and practical yet easy-to-understand graduate-level statistics course with all of the problems worked out in Excel. Thoroughly covers all topics of an intense graduate statistics course using nothing but step-by-step, simple explanations. Loaded with completed, real-world problems all in Excel, this e-manual is an outstanding supplement to a graduate statistics course. Very clear explanations are used to show exactly how the Excel formulas integrate with the statistical frameworks being applied. The reader will learn how to master and apply graduate-level statistics much faster than a student in a normal graduate statistics course because this e-manual's emphasis is entirely on problem solving, not on useless, forgettable theory that fills up many statistics courses. This e-manual achieves two goals: teaching graduate-level statistical frameworks in an easy-to-understand way and then showing how to implement all of it in Excel. The widely-used Microsoft Excel program provides a very simple but incredibly complete platform to perform heavy-duty, advanced statistical analysis. All other statistical software packages, such as Minitab, SyStat, and SPSS, are expensive, require lots of user training, and expect that the user is an expert statistician right from the start. Not this e-manual nor Microsoft Excel. The ability to perform graduate-level statistics in Excel is an extremely useful and powerful tool for any graduate statistics student and business manager. Homework assignments can be quickly checked with Excel. Once difficult statistical business problems are now readily solvable in Excel. The easy-to-follow frameworks in this e-manual can be cleanly and swiftly duplicated in the real world and on statistics exams by hand (without Excel) right away. The lessons are all in bite-size chunks that are quickly absorbed for immediate use. More than half of the lessons in this e-manual are supplemented with step-by-step videos for more convenient learning. Some of the major topics covered in detail include regression, ANOVA, hypothesis tests, confidence intervals, combinations, permutations, correlation, covariance, t-tests, histograms, and charting. This e-manual also contains two complete chapters with numerous videos showing exactly how to create user-interactive graphs of the 10 major distributions in Excel. These user-interactive Excel graphs allow the user to vary the cells containing all of the distribution's parameters, such as mean, standard deviation, and degrees of freedom, and watch the graphed distribution instantly change right on the spreadsheet to conform to the new parameters. This is an excellent and unique tool to fully grasp the functionality of the distributions discussed in this e-manual. All problem-solving techniques are presented as step-by-step frameworks that can be readily applied to similar problems, not as seemingly unrelated and difficult-to-apply statistical theorems like most statistics course do. A number of problem-solving techniques are presented in this e-manual that do not appear in any other statistical text. One example of a statistical technique presented only in this e-manual and nowhere else is a detailed description showing how to solve every type of hypothesis test using the same four steps. A number of widely-used and complicated statistical tests, such as the chi-square independence test, the chi-square population variance test, and conjoint analysis using dummy variable regression are described from top to bottom and also in Excel. Graduate statistics students and business managers will find this e-manual to be, by far, the easiest and fastest way to master graduate-level statistics and to apply advanced statistics in Excel to solve difficult, real-world problems, homework assignments, and exam questions. The reader of this e-manual will quickly become an Excel Statistical Master.

t-Tests in Excel - The Excel Statistical Master

Author : Mark Harmon
Publisher : Mark Harmon
ISBN 13 : 0983307032
Total Pages : 62 pages
Book Rating : 4.9/5 (833 download)

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Book Synopsis t-Tests in Excel - The Excel Statistical Master by : Mark Harmon

Download or read book t-Tests in Excel - The Excel Statistical Master written by Mark Harmon and published by Mark Harmon. This book was released on 2011-02-15 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: 56 pages of clear and simple yet complete instructions about what t-tests are, how and when to use them, and how to set them up and solve them in Excel. This e-manual provides a thorough explanation of all of the major types of t-tests and their underlying formulas. Before you even begin to solve t-tests in Excel, the e-manual ensures that you have a solid, intuitive grasp of what each of the different variations of t-tests do and when each should be used. The e-manual shows you how to do these t-tests by hand and also in Excel. All of the t-tests formulas and functions built-in to Excel are explained in deep detail. All of problems are solved using the built-in Excel t-tests with lots of screenshots for complete clarity. A number of the problems also have their t-values and p-values calculated by hand so you can also see how it would be done manually. The instructions are clear and easy-to-follow but at the graduate level. If you are currently taking a difficult graduate-level statistics course that covers t-tests, you will find this e-manual to be an outstanding course supplement that will explain t-tests much more clearly than your textbook does. If you are a business manager, you will really appreciate how easily and clearly this e-manual will show you how you can set up t-tests in Excel to solve difficult statistical problems on your job. This e-manual will make you an Excel Statistical Master of the t-test.

Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master

Author : Mark Harmon
Publisher :
ISBN 13 : 9781937159139
Total Pages : 478 pages
Book Rating : 4.1/5 (591 download)

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Book Synopsis Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master by : Mark Harmon

Download or read book Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master written by Mark Harmon and published by . This book was released on 2012-01 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complete and practical yet easy-to-understand graduate-level statistics instruction with ALL of the problems and examples worked out in the accompanying Excel workbooks. Thoroughly covers all topics of an intense graduate statistics course using nothing but step-by-step, simple explanations. Some of the major topics covered with easy-to-follow explanations and fully described and demonstrated in detail in Excel include: 1) ALL types of t-Tests (1-sample, 2-sample pooled and unpooled, and paired) and z tests including verification of ALL required assumptions * 2) Single-variable and multiple regression (includes verification of ALL required assumptions and ALL underlying formulas used to produce Excel regression output) * 3) Logistic regression (Logit and P(X), MLL, Max Log-Likelihood Function, R Square (Cox and Snell and Nagelkerke), variable significance with Likelihood Ratio, Classification Table, Hosmer-Lemeshow) * 4) Normality Tests (Kolmogorov-Smirnov, Anderson-Darlington, Shapiro-Wilk, Automated Histograms) * 5) Single-factor and two-factor ANOVA with and without replication including verification of ALL required assumptions and ALL underlying formulas used to produce Excel ANOVA output * 6) Post-Hoc tests for ANOVA (Tukey's HSD, Tukey-Kramer, Games-Howell) * 7) ANOVA substitute tests (Welch's ANOVA, Brown-Forsythe F test) * 8) Variance comparison tests (F test, Levene's test, Brown-Forsythe test) * 9) Effect size tests (Eta square, RMSSE, Omega square) * 10) Detailed description of calculating test power using the online utility G*Power for all types of tests) * 11) Nonparametric tests (Mann-Whitney U test alternative for 2-sample t-Tests, Wilcoxon Signed-Rank test alternative for 1-sample and paired t-Tests, Kruskal-Wallis test alternative for 1-way ANOVA, Scheirer-Ray-Hare test alternative for 2-way ANOVA, Sign Test) * 11) Chi-Square tests (Goodness-of-Fit, Independence tests, and population variance tests) * 12) Confidence intervals of population means and of population proportions (includes calculation of min sample size and verification of ALL required assumptions) * 13) Combinations and Permutations (many different examples of each) * 14) Correlations - Pearson and Spearman (includes calculation of r Critical and p value of calculated r) * 15) Covariance * 16) Automated histograms, sorting, and charting created with formulas that automatically re-calculate when data changes * 17) Central Limit Theorem demonstrated in Excel * 18) Lots of problems solved in Excel using the following distributions: Normal, t, Binomial, Negative Binomial, F, Chi-Square, Poisson, Exponential, Uniform, Geometric, Beta, Gamma, Hypergeometric, and Multinomial * 19) Instructions to create user-interactive PDF and CDF graphs in Excel for the following distributions: Normal, t, Binomial, Chi-Square, Poisson, Exponential, Uniform, Beta, Gamma, and Hypergeometric * This book is complete and thorough enough for the professional statistician but simple and clear enough for the new statistics student. The reader of this book will become an Excel Statistical Master!

Hypothesis Testing in Excel - The Excel Statistical Master

Author : Mark Harmon
Publisher : Mark Harmon
ISBN 13 : 0983307024
Total Pages : 95 pages
Book Rating : 4.9/5 (833 download)

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Book Synopsis Hypothesis Testing in Excel - The Excel Statistical Master by : Mark Harmon

Download or read book Hypothesis Testing in Excel - The Excel Statistical Master written by Mark Harmon and published by Mark Harmon. This book was released on 2011-02-15 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: 87 pages of complete step-by-step instructions showing how to perform every type of hypothesis test and how to do them all in Excel. This e-manual will make you an expert on knowing exactly how and when to use all types of hypothesis tests (hypothesis tests of mean vs. proportion, one-tailed vs. two-tailed tests, one-sample vs. two-sample tests, and unpaired data vs. paired data tests) and how to set them all up in Excel. This e-manual is loaded with completed problems and screenshots in Excel of all major variations of hypothesis tests. All hypothesis tests regardless of type can be solved in four steps. This e-manual walks you through that four-step process during each of the many solved problems. The instructions are clear and easy-to-follow but at the graduate level. If you are currently taking a difficult graduate-level statistics course that covers hypothesis tests, you will find this e-manual to be an outstanding course supplement that will explain hypothesis tests much more clearly than your textbook does. If you are a business manager, you will really appreciate how easily and clearly this e-manual will show you how you can perform hypothesis tests in Excel to solve difficult statistical problems on your job. Hypothesis tests are the most widely-used statistical tests in business. This e-manual will make you an Excel Statistical Master of hypothesis testing.

Confidence Intervals in Excel - The Excel Statistical Master

Author : Mark Harmon
Publisher : Mark Harmon
ISBN 13 : 0983307016
Total Pages : 35 pages
Book Rating : 4.9/5 (833 download)

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Book Synopsis Confidence Intervals in Excel - The Excel Statistical Master by : Mark Harmon

Download or read book Confidence Intervals in Excel - The Excel Statistical Master written by Mark Harmon and published by Mark Harmon. This book was released on 2011-02-14 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complete step-by-step e-manual showing exactly how and when to create confidence intervals in Excel. This e-manual will make you an expert on doing both types of confidence intervals (intervals of mean and intervals of proportion) and how to set them up in Excel. This e-manual is loaded with completed problems and screenshots in Excel of nearly all major variations of confidence intervals. The instructions are clear and easy-to-follow but at the graduate level. If you are currently taking a difficult graduate-level statistics course that covers confidence intervals, you will find this e-manual to be an outstanding course supplement that will explain confidence intervals much more clearly than your textbook does. If you are a business manager, you will really appreciate how easily and clearly this e-manual will show you how you can create confidence intervals in Excel to solve difficult statistical problems on your job. This e-manual will make you an Excel Statistical Master of the confidence interval.

Testing Statistical Assumptions in Research

Author : J. P. Verma
Publisher : John Wiley & Sons
ISBN 13 : 1119528399
Total Pages : 249 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Testing Statistical Assumptions in Research by : J. P. Verma

Download or read book Testing Statistical Assumptions in Research written by J. P. Verma and published by John Wiley & Sons. This book was released on 2019-03-04 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient. An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research study Shows readers the adverse effect of violating the assumptions on findings by means of various illustrations Describes different assumptions associated with different statistical tests commonly used by research scholars Contains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptions Looks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts.

Data-Guided Healthcare Decision Making

Author : Ramalingam Shanmugam
Publisher : Cambridge University Press
ISBN 13 : 100921201X
Total Pages : 529 pages
Book Rating : 4.0/5 (92 download)

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Book Synopsis Data-Guided Healthcare Decision Making by : Ramalingam Shanmugam

Download or read book Data-Guided Healthcare Decision Making written by Ramalingam Shanmugam and published by Cambridge University Press. This book was released on 2023-05-31 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book effectively exposes and illustrates the ideas and tools for optimal healthcare decisions taken from evidence.

Confidence Intervals, Hypothesis Tests, and T-Tests in Excel - the Excel Statistical Master

Author : Mark Harmon
Publisher :
ISBN 13 : 0983307008
Total Pages : pages
Book Rating : 4.9/5 (833 download)

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Book Synopsis Confidence Intervals, Hypothesis Tests, and T-Tests in Excel - the Excel Statistical Master by : Mark Harmon

Download or read book Confidence Intervals, Hypothesis Tests, and T-Tests in Excel - the Excel Statistical Master written by Mark Harmon and published by . This book was released on 2011-01-23 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Analysis

Author : Conrad Carlberg
Publisher : Que Publishing
ISBN 13 : 0133823997
Total Pages : 714 pages
Book Rating : 4.1/5 (338 download)

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Book Synopsis Statistical Analysis by : Conrad Carlberg

Download or read book Statistical Analysis written by Conrad Carlberg and published by Que Publishing. This book was released on 2014-04-04 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Excel 2013’s statistical tools to transform your data into knowledge Conrad Carlberg shows how to use Excel 2013 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features, including recently introduced consistency functions. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes. You’ll learn how to use correlation and regression, analyze variance and covariance, and test statistical hypotheses using the normal, binomial, t, and F distributions. To help you make accurate inferences based on samples from a population, this edition adds two more chapters on inferential statistics, covering crucial topics ranging from experimental design to the statistical power of F tests. Becoming an expert with Excel statistics has never been easier! You’ll find crystal-clear instructions, insider insights, and complete step-by-step projects—all complemented by extensive web-based resources. Master Excel’s most useful descriptive and inferential statistical tools Tell the truth with statistics—and recognize when others don’t Accurately summarize sets of values Infer a population’s characteristics from a sample’s frequency distribution Explore correlation and regression to learn how variables move in tandem Use Excel consistency functions such as STDEV.S() and STDEV.P() Test differences between two means using z tests, t tests, and Excel’s Data Analysis Add-in Use ANOVA to test differences between more than two means Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2013 shortcuts

Statistical Analysis

Author : Conrad Carlberg
Publisher : Que Publishing
ISBN 13 : 0134840488
Total Pages : 825 pages
Book Rating : 4.1/5 (348 download)

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Book Synopsis Statistical Analysis by : Conrad Carlberg

Download or read book Statistical Analysis written by Conrad Carlberg and published by Que Publishing. This book was released on 2017-11-15 with total page 825 pages. Available in PDF, EPUB and Kindle. Book excerpt: USE EXCEL’S STATISTICAL TOOLS TO TRANSFORM YOUR DATA INTO KNOWLEDGE Nationally recognized Excel expert Conrad Carlberg shows you how to use Excel 2016 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples and downloadable workbooks, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes. You’ll learn how to use correlation and regression, analyze variance and covariance, and test statistical hypotheses using the normal, binomial, t, and F distributions. To help you make accurate inferences based on samples from a population, Carlberg offers insightful coverage of crucial topics ranging from experimental design to the statistical power of F tests. Updated for Excel 2016, this guide covers both modern consistency functions and legacy compatibility functions. Becoming an expert with Excel statistics has never been easier! In this book, you’ll find crystal-clear instructions, insider insights, and complete step-by-step guidance. Master Excel’s most useful descriptive and inferential statistical tools Understand how values cluster together or disperse, and how variables move or classify jointly Tell the truth with statistics—and recognize when others don’t Infer a population’s characteristics from a sample’s frequency distribution Explore correlation and regression to learn how variables move in tandem Use Excel consistency functions such as STDEV.S( ) and STDEV.P( ) Test differences between two means using z tests, t tests, and Excel’s Data Analysis Add-in Identify skewed distributions using Excel’s new built-in box-and-whisker plots and histograms Evaluate statistical power and control risk Explore how randomized block and split plot designs alter the derivation of F-ratios Use coded multiple regression analysis to perform ANOVA with unbalanced factorial designs Analyze covariance with ANCOVA, and properly use multiple covariance Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2016 shortcuts

Six Sigma Statistics with EXCEL and MINITAB, Chapter 6 - Hypothesis Testing

Author : Issa Bass
Publisher : McGraw Hill Professional
ISBN 13 : 0071735402
Total Pages : 28 pages
Book Rating : 4.0/5 (717 download)

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Book Synopsis Six Sigma Statistics with EXCEL and MINITAB, Chapter 6 - Hypothesis Testing by : Issa Bass

Download or read book Six Sigma Statistics with EXCEL and MINITAB, Chapter 6 - Hypothesis Testing written by Issa Bass and published by McGraw Hill Professional. This book was released on 2007-07-01 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Six Sigma Statistics with Excel and MINITAB. This is a comprehensive and easy-to-use guide for understanding and using Excel and MINITAB programs for Six Sigma statistical data analysis. Each chapter includes relevant theory and technique, step-by-step exercises, case studies, graphical illustrations and screen shots for performing the techniques in both Excel and MINITAB.

Graphing Statistical Distributions in Excel - the Excel Statistical Master

Author : Mark Harmon
Publisher :
ISBN 13 : 9781937159061
Total Pages : 98 pages
Book Rating : 4.1/5 (59 download)

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Book Synopsis Graphing Statistical Distributions in Excel - the Excel Statistical Master by : Mark Harmon

Download or read book Graphing Statistical Distributions in Excel - the Excel Statistical Master written by Mark Harmon and published by . This book was released on 2011-04-09 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clear and thorough instructions about how to create interactive graphs in Excel of the eight most popular statistical distributions. These distributions include the Normal Distribution, the t Distribution, the Binomial Distribution, the Chi-Square Distribution, the Poisson Distribution, the Weibull Distribution, the Exponential Distribution, and the Hypergeometric Distribution. You will learn to make interactive graphs in Excel of both the PDF and CDF (Probability Density Function and Cumulative Distribution Function) for most of these statistical distributions. The interactive Excel graphs that you will soon be able to construct will allow you to vary each and every one of the distribution's parameters right on the spreadsheet and watch the distribution's Excel graph instantaneously change shape as a result of the new parameters that you just entered. For example, you will be able to vary either of the Normal Distribution's two parameters, the mean and standard deviation, and then watch how the new parameters instantly change the shape of the graph on the Excel spreadsheet. It is an outstanding way to quickly master all of the distributions and fully understand what effect each parameter has on the shape of the graph of a particular distribution. One entertaining example of this is to watch the Chi-Square Distribution's graph resemble a wave rolling from left to right across the spreadsheet as the Chi-Square Distribution's only parameter, its degrees of freedom, is increased. You'll see exactly how to graph each distribution by simply following the numerous screen shots throughout this manual. The beginning of this manual has a special section which provides detailed instructions about how to create the graph of a generic distribution on a Excel spreadsheet. It is a lot simpler than you might imagine. This manual will make you an Excel Statistical Master at creating user-interactive graphs in Excel of the eight most well-known statistical distributions.

Statistical Analysis

Author : Conrad Carlberg
Publisher : Pearson Education
ISBN 13 : 0132681919
Total Pages : 426 pages
Book Rating : 4.1/5 (326 download)

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Book Synopsis Statistical Analysis by : Conrad Carlberg

Download or read book Statistical Analysis written by Conrad Carlberg and published by Pearson Education. This book was released on 2011-04-22 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Analysis: Microsoft Excel 2010 “Excel has become the standard platform for quantitative analysis. Carlberg has become a world-class guide for Excel users wanting to do quantitative analysis. The combination makes Statistical Analysis: Microsoft Excel 2010 a must-have addition to the library of those who want to get the job done and done right.” —Gene V Glass, Regents’ Professor Emeritus, Arizona State University Use Excel 2010’s statistical tools to transform your data into knowledge Use Excel 2010’s powerful statistical tools to gain a deeper understanding of your data, make more accurate and reliable inferences, and solve problems in fields ranging from business to health sciences. Top Excel guru Conrad Carlberg shows how to use Excel 2010 to perform the core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features, including its new consistency functions. Along the way, you discover the most effective ways to use correlation and regression and analysis of variance and covariance. You see how to use Excel to test statistical hypotheses using the normal, binomial, t and F distributions. Becoming an expert with Excel statistics has never been easier! You’ll find crystal-clear instructions, insider insights, and complete step-by-step projects—all complemented by an extensive set of web-based resources. • Master Excel’s most useful descriptive and inferential statistical tools • Tell the truth with statistics, and recognize when others don’t • Accurately summarize sets of values • View how values cluster and disperse • Infer a population’s characteristics from a sample’s frequency distribution • Explore correlation and regression to learn how variables move in tandem • Understand Excel’s new consistency functions • Test differences between two means using z tests, t tests, and Excel’s Data Analysis Add-in • Use ANOVA and ANCOVA to test differences between more than two means • Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha There is an Excel workbook for each chapter, and each worksheet is keyed to one of the book's figures. You'll also find additional material, such as a chart that demonstrates how statistical power shifts as you manipulate sample size, mean differences, alpha and directionality. To access these free files, please visit http://www.quepublishing.com/title/0789747200 and click the Downloads Tab.

Testing For Normality

Author : Henry C. Thode
Publisher : CRC Press
ISBN 13 : 9780203910894
Total Pages : 506 pages
Book Rating : 4.9/5 (18 download)

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Book Synopsis Testing For Normality by : Henry C. Thode

Download or read book Testing For Normality written by Henry C. Thode and published by CRC Press. This book was released on 2002-01-25 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the selection, design, theory, and application of tests for normality. Covers robust estimation, test power, and univariate and multivariate normality. Contains tests ofr multivariate normality and coordinate-dependent and invariant approaches.

Six Sigma Statistics with Excel: Statistical Process Control

Author : Issa Bass
Publisher : McGraw Hill Professional
ISBN 13 : 0071735429
Total Pages : 36 pages
Book Rating : 4.0/5 (717 download)

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Book Synopsis Six Sigma Statistics with Excel: Statistical Process Control by : Issa Bass

Download or read book Six Sigma Statistics with Excel: Statistical Process Control written by Issa Bass and published by McGraw Hill Professional. This book was released on 2007-07-01 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Six Sigma Statistics with Excel and MINITAB. This is a comprehensive and easy-to-use guide for understanding and using Excel and MINITAB programs for Six Sigma statistical data analysis. Each chapter includes relevant theory and technique, step-by-step exercises, case studies, graphical illustrations and screen shots for performing the techniques in both Excel and MINITAB.