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Essentials of STATS & Excel Lab Manual Pkg

Author:
Publisher: Pearson
ISBN: 9780321556875
Category :
Languages : en
Pages :

Book Description

Essentials of STATS & Excel Lab Manual Pkg

Author:
Publisher: Pearson
ISBN: 9780321556875
Category :
Languages : en
Pages :

Book Description

Excel Lab Manual for Just the Essentials of Elementary Statistics, 3rd

Author: Brooks/Cole
Publisher:
ISBN: 9780534396589
Category :
Languages : en
Pages :

Book Description

Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses

Author: Cheng-Few Lee
Publisher: Springer
ISBN: 3319388673
Category : Business & Economics
Languages : en
Pages : 1043

Book Description
This introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, Minitab, and SAS. Every chapter in this textbook engages the reader with data of individual stock, stock indices, options, and futures. One studies and uses statistics to learn how to study, analyze, and understand a data set of particular interest. Some of the more popular statistical programs that have been developed to use statistical and computational methods to analyze data sets are SAS, SPSS, and Minitab. Of those, we look at Minitab and SAS in this textbook. One of the main reasons to use Minitab is that it is the easiest to use among the popular statistical programs. We look at SAS because it is the leading statistical package used in industry. We also utilize the much less costly and ubiquitous Microsoft Excel to do statistical analysis, as the benefits of Excel have become widely recognized in the academic world and its analytical capabilities extend to about 90 percent of statistical analysis done in the business world. We demonstrate much of our statistical analysis using Excel and double check the analysis and outcomes using Minitab and SAS—also helpful in some analytical methods not possible or practical to do in Excel.

Excel Student Laboratory Manual and Workbook for the Triola Statistics Series

Author: Beverly Dretzke
Publisher: Pearson
ISBN: 9780321837998
Category : Statistics
Languages : en
Pages : 0

Book Description
The Excel(R) Manual is organized to follow the sequence of topics in the text, and contains an easy-to-follow, step-by-step guide on how to use Excel to perform statistical processes.

Microsoft Excel Lab Manual for Johnson/Kuby's Elementary Statistics (with CD-ROM), 9th

Author: Brooks/Cole
Publisher:
ISBN: 9780534399238
Category :
Languages : en
Pages :

Book Description

Essentials of Statistics

Author: Mario F. Triola
Publisher: Addison Wesley
ISBN:
Category : Mathematics
Languages : en
Pages : 654

Book Description
The book is the ideal text for instructors who want a more economical and streamlined text for their introductory statistics course. Drawn from Triola's Elementary Statistics this text provides the same student-friendly approach with material presented in a real-world context. ... From publisher description.

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

Author: Mark Harmon
Publisher: Mark Harmon
ISBN: 0983307083
Category : Computers
Languages : en
Pages :

Book Description
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.