Statistical Reasoning For Everyday Life(1st Edition)
Authors:
Jeffrey O. Bennett, William L. Briggs, Mario F. Triola
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
In Stock: 2 Left
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Book details
ISBN: 020161488X, 9780201614886
Book publisher: Addison Wesley
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Customer Reviews
Trusted feedback from verified buyers
AS
I was truly impressed by the clear explanations and practical examples laid out in 'Statistical Reasoning For Everyday Life'. The book does an outstanding job of connecting theoretical concepts to real-life scenarios, making it easier to grasp the ideas. Furthermore, the delivery was swift, and the book arrived in impeccable condition. If you're a member, there's a bonus savings opportunity, which I took advantage of. Highly recommend this book for anyone wanting to understand statistics in a meaningful way.
SF
This is exactly what I needed to demystify statistics! The authors provide detailed explanations with relatable examples that make the material stick. The book is well-organized and ought to be a staple for anyone interested in learning how statistical reasoning can apply to everyday life. Even more worthwhile if you benefit from a membership discount. Can't praise it enough!
GJ
Picked this up due to a recommendation and was not disappointed. The book provides a solid introduction to statistical concepts using language that's accessible and not too jargon-heavy. While some areas could use slightly deeper exploration, the book serves its primary purpose well. Received it packaged securely and a day earlier than expected, which is always a pleasant surprise.
MA
Statistical reasoning is made engaging in this well-rounded guide. I appreciated the balance of theoretical discussion and practical example scenarios that illuminate the principles clearly. The only downside is I found a chapter or two a bit dense. Yet, overall, it's a beneficial read for newcomers to statistics. As a subscriber, I received this at a cut-rate price, making the value even better!
WT
Arrived quickly but found some concepts oversimplified.






























