Statistics for People Who (Think They) Hate Statistics

Using Microsoft Excel 2016

Nonfiction, Reference & Language, Reference, Research, Social & Cultural Studies, Social Science
Cover of the book Statistics for People Who (Think They) Hate Statistics by Dr. Neil J. Salkind, SAGE Publications
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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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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