Excel Statistics: A Quick Guide
przez
Neil J. Salkind
Brak ocen
Format
Kindle
Strony
166
Język
Angielski
Opublikowany
Jan 1, 2015
Wydawca
SAGE Publications, Inc
Wydanie
3
ISBN-10
1483374068
ISBN-13
9781483374062
Opis
Neil J. Salkind's guide offers a streamlined approach to understanding statistics through Excel, catering specifically to readers who already possess a foundational knowledge of the software. This updated edition delves deeper into statistical concepts, demonstrating how Excel can facilitate data analysis in an engaging and accessible manner.
Salkind's writing is clear and concise, making complex statistical techniques more digestible for his audience. He introduces readers to practical applications of various statistical methods, integrating real-world examples that help solidify the concepts being presented. This hands-on approach empowers users to apply their learning effectively, enhancing both their analytical skills and confidence in handling data.
Throughout the guide, the emphasis is placed on utilizing Excel as a powerful tool for statistical analysis, providing step-by-step instructions that simplify the learning process. Salkind ensures that readers can follow along easily, regardless of their prior experience with statistics.
Ultimately, this guide serves as a valuable resource for anyone looking to harness the power of Excel in their statistical endeavors, paving the way for more informed decision-making in various fields.
Salkind's writing is clear and concise, making complex statistical techniques more digestible for his audience. He introduces readers to practical applications of various statistical methods, integrating real-world examples that help solidify the concepts being presented. This hands-on approach empowers users to apply their learning effectively, enhancing both their analytical skills and confidence in handling data.
Throughout the guide, the emphasis is placed on utilizing Excel as a powerful tool for statistical analysis, providing step-by-step instructions that simplify the learning process. Salkind ensures that readers can follow along easily, regardless of their prior experience with statistics.
Ultimately, this guide serves as a valuable resource for anyone looking to harness the power of Excel in their statistical endeavors, paving the way for more informed decision-making in various fields.
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