Data Analysis And Decision Making(4th Edition)

Authors:

Christian Albright, Wayne Winston, Christopher Zappe

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Book details

ISBN: 538476125, 978-0538476126

Book publisher: Cengage Learning

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Book Price $0 : Data Analysis and Decision Making by Christian Albright, Wayne Winston, and Christopher Zappe is a comprehensive guide that blends data analytics with effective decision-making strategies. This book, highly lauded for its pragmatic approach, serves as an essential resource for mastering analytical techniques and decision support systems. The fourth edition delves deeply into data visualization, statistical techniques, and predictive modeling, while integrating business intelligence applications. A notable feature of the book is the extensive use of Microsoft Excel and its analytics tools like Solver and Add-ins, making it highly relevant for practitioners seeking hands-on experience. Additionally, the inclusion of a solution manual and an answer key provide readers with critical resources for verifying their understanding of complex datasets and methodologies. The table of content is meticulously structured, allowing learners to navigate seamlessly through topics such as regression analysis, simulation, and optimization models. This structured approach caters to both novice analysts and seasoned professionals, enhancing the book's reception in academic and business circles alike. LSI Keywords: Decision Science, Predictive Analytics, Business Strategy, Quantitative Methods, Data-Driven Decision Making. This cheap textbook serves as a cost-effective supplement for those tackling challenging subjects.

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Customer Reviews

Trusted feedback from verified buyers

Matthew Saunders

5.0

Reviewed In Arizona

• January 27, 2024

Next Level

Carl Briggs

4.0

Reviewed In West Midlands

• August 24, 2023

I stumbled on this free book when my tutor mentioned it might help with our upcoming data course, figured why not? Before this, the whole concept of hypothesis testing had me completely baffled — numbers and sig. levels flying over my head. When I got to Chapter 5, all about hypothesis testing and essentials like p-values, it finally clicked. The way it broke down types of errors and practical bits was way less stressful than usual maths stuff, without dumbing things down. It was like an aha moment — those clear real-life examples made me understand how to judge if data really proves something or if it’s just noise. Right after reading that chapter, I actually used what I learned in a small survey project for class, and confidently explained the statistical significance in my results (which previously I would've been shy about). Only thing — sometimes the explanations get a bit dense in parts and I needed to read twice to get it, but nothing crazy. Would say if you struggle with basics of statistics like me, this chapter alone makes the whole book worth checking. And free is defs a bonus! Handy resource if you wanna make sense of stuff that looks scary at first. So, big thumbs up here — pretty sure it’ll save anyone heaps of headaches.

Bruce Maxwell

4.0

Reviewed In California

• August 12, 2022

So, a friend told me about this data book that was free online and kinda figured it couldn’t hurt to check it out—it was for a stats class I’m taking. Before opening it, I always felt lost when the prof started talking about surveys and how many samples you need for your study to be actually legit. Felt like all those numbers and rules were just over my head, kinda stressing me out. But when I hit Chapter 7, which deals with Sampling and Surveys, something clicked. It explains stuff in a way that wasn’t just dry theory—you get why sample size actually matters and how surveys can be these fragile things you gotta handle carefully, not just “pick races randomly.” That real-world vibe was super helpful. The examples in that chapter made me see how all the formulas tie in with actual decisions you’d wanna make—like how errors crop up, and how survey methods impact results. I even ended up applying a bit of what I learned when helping with a class project survey. Being able to talk about why we chose certain sampling approaches made our whole little research sound way more professional than usual. Only thing is, some sections jumped in really fast and I had to go back a couple times to really get the bits about bias and how weighting works, but it wasn’t too harsh. For a free resource, I’m honestly impressed. I think if you’ve been kinda freaking out about doing surveys right or just need a plain but meaningful run-through, this section is really worth giving a solid look—has helped me a ton already. Will likely keep grabbing chapters from this because it takes tough stuff and breaks it into bites you actually follow.

Amelia Blake

5.0

Reviewed In California

• May 21, 2022

Needed this for my course BANA 305: Data Analysis and Decision Making in Business and got it free which is awesome. Looks pretty clean and easy to read so far, the chapters I glanced at don’t feel like a total headache like some stats books. The examples seem kind of practical and the explanations aren’t overloaded with jargon which helps me get through homework faster. Haven’t gone too deep yet but it feels like it’ll work well as a reference since the layout is clear enough to find stuff quickly. Good score on the fast delivery as well since I needed it quick for class.

Quinn Holt

5.0

Reviewed In Mississippi

• July 3, 2021

Honestly wasn’t expecting much but this free textbook really helped me get through MATH 305: Statistical Methods for Decision Making way easier. The way it breaks down stuff like probability and decision tables isn’t boring or mega confusing — kind of surprised me how it speaks doable language rather than typical tough math talk. I’ve only read parts since I got it week ago but already using examples for homework. Plus the chapters are pretty simple to jump between which helps when you’re last minute cramming. I’m happy this didn’t cost me a dime because honestly sometimes free makes you wary but this one feels solid.

Wesley Simmons

5.0

Reviewed In Illinois

• March 24, 2021

I've been kinda dreading the stats course because hypothesis testing always seemed like jargon overload and number chaos to me. Then I found this free textbook online for my Data Analysis class, and flipping through, Chapter 5 about hypothesis testing popped out immediately—it was so different small sections and real-world type examples instead of just weird formulas. I had never understood what p-values actually meant till I read that chapter, and it seriously cleared the fog. What’s cool is it didn’t dumb things down, just explained it slow enough for someone who literally thought significance levels were just scary squiggles. That aha moment where errors and testing actually made sense was totally worth it. I ended up using exactly what I learned the next day for a miniature sampling project in class to explain why our numbers weren’t just random luck. Felt way more confident than usual, no kidding. My only gripe was some parts felt like they jumped into details quickly and I’d zone out re-reading a bit there, but not too bad compared to other textbooks I’ve tried. If you’re terrified of stats mumbo jumbo like I was before chapter five hits, this book is a solid Recycler for keeping basics simple and making those scary concepts feel real. Plus, the fact that it’s zero cost doesn’t hurt — couldn’t beat that! I’m definitely scooping more chapters from here when I need a refresher. Great find! Thanks for keepin’ the math less freaky! Abdullah Alikhan

Data Analysis And Decision Making(4th Edition)

Authors:

Christian Albright, Wayne Winston, Christopher Zappe

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Book details

ISBN: 538476125, 978-0538476126

Book publisher: Cengage Learning

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