Applied Statistics with Microsoft Excel

Applied Statistics with Microsoft Excel
Author: Gerald Keller
Publisher: Duxbury Resource Center
Total Pages: 0
Release: 2001
Genre: Economics
ISBN: 9780534371128

Gerald Keller's new APPLIED STATISTICS WITH MICROSOFT® EXCEL integrates Excel into the general introductory statistics course. Keller, the co-author of the market-leading STATISTICS FOR MANAGEMENT AND ECONOMICS, Fifth Edition, incorporates his proven three-step problem-solving process throughout this book. The first step, "Identify," is the work a statistician does before the calculations are performed, which entails organizing the experiment, gathering the data, and deciding which statistical techniques to employ. The second step, "Compute," is the computation with Excel. In this step, Keller shows the manual calculation for the simplest of techniques only. For example, he describes how to calculate the sample mean, variance, and standard deviation, how to compute the z-interval estimate of, and the z-test of. The third step, "Interpret," is the interpretation of the computer output, which requires an understanding of statistical concepts.

Statistical Analysis

Statistical Analysis
Author: Conrad Carlberg
Publisher: Que Publishing
Total Pages: 714
Release: 2014-04-04
Genre: Business & Economics
ISBN: 0133823997

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

Understanding Educational Statistics Using Microsoft Excel and SPSS

Understanding Educational Statistics Using Microsoft Excel and SPSS
Author: Martin Lee Abbott
Publisher: John Wiley & Sons
Total Pages: 446
Release: 2014-08-21
Genre: Mathematics
ISBN: 1118627180

Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences. Mobilizing interesting real-world examples from the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS supplies a seamless presentation that identifies valuable connections between statistical applications and research design. Class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations and the use of software packages that are accessible to both the novice and professional alike to present the fundamental statistical practices for organizing, understanding, and drawing conclusions from educational research data. The book begines with an introduction to descriptive and inferential statistics and then proceeds to acquaint readers with the various functions for working with quantitative data in the Microsoft Excel environment, such as spreadsheet navigation; sorting and filtering; and creating pivot tables. Subsequent chapters treat the procedures that are commonly-employed when working with data across various fields of social science research, including: Single-sample tests Repeated measure tests Independent t-tests One way ANOVA and factorial ANOVA Correlation Bivariate regression Chi square Multiple regression Individual chapters are devoted to specific procedures, each ending with a lab exercise that highlights the importance of that procedure by posing a research question, examining the question through its application in Excel and SPSS, and concluding with a brief research report that outlines key findings drawn from the results. Real-world examples and data from modern educational research are used throughout the book, and a related Web site features additional data sets, examples, and labs, allowing readers to reinforce their comprehension of the material. Bridging traditional statistical topics with the latest software and applications in the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS is an excellent book for courses on educational research methods and introductory statistics in the social sciences at the upper-undergraduate and graduate levels. It also serves as a valuable resource for researchers and practitioners in the fields of education, psychology, and the social sciences who require a statistical background to work with data in their everyday work.

An Introduction to Statistics using Microsoft Excel

An Introduction to Statistics using Microsoft Excel
Author: Dan Remenyi
Publisher: UJ Press
Total Pages: 236
Release: 2022-01-01
Genre: Reference
ISBN: 1776413458

A significant amount of academic research his conducted using quantitative research methods. In many universities large and expensive statistical software has been acquired. However much of this software requires a considerable amount of training before researchers are capable of using it correctly and this can cause difficulties. Many academic researchers are surprised by just how much analytical work can be done using the ubiquitous Microsoft Excel software. This book presents a course on the use of statistics in academic research starting with simple descriptive techniques and working through to sophisticated inferential methods. A step-by-step approach has been taken and has been described by users of this book as similar to having the teacher standing by you as you learn about some of the sophisticated methods of handling and understanding data. Readers of this book have my best wishes in achieving their objectives through their work with academic research.

Practical Statistics by Example Using Microsoft Excel

Practical Statistics by Example Using Microsoft Excel
Author: Terry Sincich
Publisher:
Total Pages: 872
Release: 1999
Genre: Electronic spreadsheets
ISBN:

This manual includes an Excel primer providing basic instructions on using Windows and Excel. Excel Tutorials appear at the end of pertinent chapters. Self-test questions, key terms, formulas and symbols are included.

Data Analysis with Microsoft Excel

Data Analysis with Microsoft Excel
Author: Kenneth N. Berk
Publisher: Thomson Brooks/Cole
Total Pages: 0
Release: 2009
Genre: Carey, Patrick
ISBN: 9780495831495

The latest book from Cengage Learning on Data Analysis with Microsoft« ExcelÖ

An Excel Companion for Business Statistics

An Excel Companion for Business Statistics
Author: David L. Eldredge
Publisher: South Western Educational Publishing
Total Pages: 0
Release: 1999
Genre: Business
ISBN: 9780538890885

Using a familiar tool, such as Excel, enhances the business professionals ability to make better business decisions leading to future success. This manual provides step-by-step instructions for using Excel to solve most of the problems for business statistics. It presents many visual examples of computer screen captures. These show data input, pull-down menus, dialog boxes and statistical results.

Learning Business Statistics with Microsoft Excel 2000

Learning Business Statistics with Microsoft Excel 2000
Author: John L. Neufeld
Publisher:
Total Pages: 494
Release: 2001
Genre: Business & Economics
ISBN:

Business statistics students at both the undergraduate and MBA level who are not experts in the use of Excel. This text is designed to reflect the important changes in the teaching of statistics brought about by the usage of computers. It takes advantage of the ability of computers to help students understand statistical methods. It uses a straightforward, step-by-step approach, and uses the computer both as a tool for solving statistical problems and as pedagogical device to help students understand difficult concepts. *Excel usage has been simplified: Less emphasis on formatting. More emphasis on helping students get the 'big picture'. *Excel is used more as a scratch pad: In the revision the approach has moved from creating worksheets which automatically solve problems to using Excel as a scratch pad for each problem that arises. *All screen captures updated to Excel 2000 and all the material has been tested on Excel 2000. *Step-by-step instructions: Detailed instructions are given as each new topic is introduced. As students become more familiar with the topics less coaching is provided. *Computer demonstrations reinforce student understanding: Students are directed to use Exce