Mastering Statistical Distributions In Excel The Excel Statistical Master

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Mastering Statistical Distributions in Excel - the Excel Statistical Master

160 pages of complete, simple, step-by-step lessons in how solve problems in Excel with all eight of the most popular statistical distributions and how to create interactive graphs of each of them. Loaded with solved problems in Excel for each distribution, you will completely master and understand every aspect of the eight most widely-used distributions and how to use Excel to solve a number of different real-world, graduate-level problems for each distribution. 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. Special additional sections and emphasis in the book are placed on the Normal Distribution, the t Distribution, and the Binomial Distribution because these are the most widely-used of all distributions. This book also provides clear and thorough instructions about how to create interactive graphs in Excel of these eight most popular statistical distributions. 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 then watch the distribution's Excel graph instantaneously change shape as a result of the new parameters that you just entered. You will become an expert in graphing statistical distributions in Excel. You will also become an expert at the distributions themselves. This book is loaded with completed problems and screenshots in Excel of all eight of the major statistical distributions. The instructions are clear and easy-to-follow but at the graduate level. Nothing but simple explanations all taught in small-bite-size lessons. The emphasis is on problem solving, not on useless, complicated, hard-to-apply theory that fills many statistics course. If you are currently taking a difficult graduate-level statistics course that covers statistical distributions in detail, you will find this manual to be an outstanding course supplement that will explain statistical distributions much more clearly than your textbook does. Every lesson uses Excel. You'll be glad to know that you'll never have to look up anything on statistical charts ever again. The easy-to-follow statistical distributions problem-solving frameworks in this manual can be cleanly and swiftly duplicated in the real world. If you are a business manager, you will really appreciate how easily and clearly this manual will show you how you can statistical distributions in Excel to solve a wide variety of difficult problems on your job. You already know Excel so no new software is necessary. You don't need SPSS, SAS, SyStat, or Minitab. All of those are expensive, require lots of user training, and expect the user to be an expert statistician right from the start. Not Excel nor this book. This manual achieves two goals: teaching graduate-level statistical distribution frameworks in an easy-to-understand, real-world, practical way and then showing how to implement all of it in Excel. This manual will make you an Excel Statistical Master of the most important statistical distributions.
Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master

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.
Straightforward Statistics with Excel

Author: Chieh-Chen Bowen
language: en
Publisher: SAGE Publications
Release Date: 2021-09-08
Written in an accessible and clear manner, Straightforward Statistics with Excel® 2e by Chieh-Chen Bowen helps students across the social and behavioral sciences gradually build their skills to develop a better understanding of the world around them. Each chapter purposefully connects with the previous chapter for a gradual accrual of knowledge from simple to more complex concepts. This effective, cumulative approach to statistics through logical transitions eases students into statistics and prepares them for success in more advanced quantitative coursework and their own research. The second edition now features Excel instructions and exercises throughout so students can use this widely-available and applied software for statistics. This book is designed to walk the reader through statistics at a steady but gentle pace, providing pop quizzes throughout every chapter so readers can check their knowledge along the way. By gradually stepping up difficulty in each chapter, students generate a solid foundation and are prepared for the next chapters. Straightforward Statistics with Excel looks at the big picture so that the basic statistical concepts connect to everyday and relevant research examples in multiple ways. Throughout the book the reader is reminded of what they need to be able to recall with "You Must Remember This" boxes. A rich source of practical resources are located at the end of chapters beginning with " What You Learned," followed by three sets of exercises so students can immediately apply their knowledge. The new edition features a reorganized presentation of material, starting with measures of central tendency, separating this from measures of variability so students better understand the differences. A more thorough presentation of one-sample and dependent samples t-tests gives students a stronger foundation in these crucial tests in statistics. New examples and studies complete the update, with a focus on simplicity. Throughout, the book makes use of Excel instructions and screenshots so students can take statistics with them through research projects and into the world beyond academia.