Statistics for People Who (Think They) Hate Statistics
Using Microsoft Excel 2016
Nonfiction, Reference & Language, Reference, Research, Social & Cultural Studies, Social Science
| Author: | Dr. Neil J. Salkind | ISBN: | 9781483374109 |
| Publisher: | SAGE Publications | Publication: | January 29, 2016 |
| Imprint: | SAGE Publications, Inc | Language: | English |
| Author: | Dr. Neil J. Salkind |
| ISBN: | 9781483374109 |
| Publisher: | SAGE Publications |
| Publication: | January 29, 2016 |
| Imprint: | SAGE Publications, Inc |
| Language: | English |
Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book's unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel.
Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book's unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel.
