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[X608.Ebook] Ebook Business Statistics For Dummies, by Alan Anderson

Ebook Business Statistics For Dummies, by Alan Anderson

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Business Statistics For Dummies, by Alan Anderson

Business Statistics For Dummies, by Alan Anderson



Business Statistics For Dummies, by Alan Anderson

Ebook Business Statistics For Dummies, by Alan Anderson

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Business Statistics For Dummies, by Alan Anderson

Score higher in your business statistics course? Easy.

Business statistics is a common course for business majors and MBA candidates. It examines common data sets and the proper way to use such information when conducting research and producing informational reports such as profit and loss statements, customer satisfaction surveys, and peer comparisons.

Business Statistics For Dummies tracks to a typical business statistics course offered at the undergraduate and graduate levels and provides clear, practical explanations of business statistical ideas, techniques, formulas, and calculations, with lots of examples that shows you how these concepts apply to the world of global business and economics.

  • Shows you how to use statistical data to get an informed and unbiased picture of the market
  • Serves as an excellent supplement to classroom learning
  • Helps you score your highest in your Business Statistics course

If you're studying business at the university level or you're a professional looking for a desk reference on this complicated topic, Business Statistics For Dummies has you covered.

  • Sales Rank: #298772 in Books
  • Published on: 2013-11-18
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.30" h x .84" w x 7.40" l, 1.32 pounds
  • Binding: Paperback
  • 408 pages

From the Back Cover

Learn to:

  • Grasp the core concepts and principles of business statistics
  • Make sense of problems and processes common to the world of global business and economics
  • Score your highest in your business statistics course

Make sound business decisions and produce powerful reports

Business Statistics For Dummies tracks to a typical business statistics course and offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations. Many real-life examples show how these concepts apply to the world of global business and economics. If you're studying business at the university level or you're a professional looking for a desk reference on this complicated topic, Business Statistics For Dummies has you covered.

  • Statistics 101 — get an introduction to probability, sampling techniques and sampling distributions, and drawing conclusions from data
  • Pictures tell the story — find out how to use several types of charts and graphs to visualize the most important properties of a data set
  • Take the pain out of probability — discover the lowdown on generating outcomes, types of probabilities, and rules of probability
  • Have confidence — draw conclusions from samples with the confidence interval, testing hypotheses about population means, analysis of variance, and testing hypotheses about population variances

Open the book and find:

  • The use of statistics in daily life
  • Sampling techniques and sampling distributions
  • Methods for finding the mean of a data set
  • Binomial, geometric, and Poisson distributions
  • The scoop on t-distribution
  • Regression analysis and forecasting
  • Errors that arise in statistical analysis
  • Key formulas and statistical tables

About the Author

Alan Anderson, PhD is a teacher of finance, economics, statistics, and math at Fordham and Fairfield universities as well as at Manhattanville and Purchase colleges. Outside of the academic environment he has many years of experience working as an economist, risk manager, and fixed income analyst. Alan received his PhD in economics from Fordham University, and an M.S. in financial engineering from Polytechnic University.

Most helpful customer reviews

14 of 14 people found the following review helpful.
If you're looking for a beginners Business Stats book, this is a great choice.
By William G. Ryan
I've recently taken a position as lead data scientist at a technology company. I have a pretty strong background in statistics, but I have a few employees that really needed a refresher course in it for our current projects. If you are strong in stats, this book works as a decent refresher but you'd probably want something more advanced but you can probably figure that out by virtue of the series title.

i got this book as part of the Amazon vines program and took it to work when I was first reviewing it. Someone came over and saw it on my desk and sneeringly said "Please tell me someone left that book on your desk and that you don't read 'Dummies' books on serious subjects. I've heard a lot of that sentiment and time after time it's from people who's command of the subject matter leaves a lot to be desired. I replied that it was a Reviewer's copy but I would have definitely bought it if I didn't get the review copy especially to keep in our library as a reference . i then asked "What subject do you think it should cover that it doesn't?". He replied "Oh, there's not one in particular, I just don't believe in using Dummies books on professional subjects." I mention that b/c if you're the type of person that needs book titles/covers to make you feel important, then you should definitely pick another book (at some point, it seems people got the impression this series was written 'by' dummies instead of 'for' them but neither is the case). If however, you want a well written, concise book that does a really good job covering business statistics, I think you'll really enjoy it.

Before getting into the review, I'm going to make a pretty dramatic claim here. Pick any topic that Anderson covers in this book and attentively read it through. Open up Excel or other spreadsheet (or do it by hand if you're so inclined) and walk through 3 examples applying the technique he's discussing. You'll be able to absorb and clearly understand every single topic in this book - every single one.

Every entry level book on business stats that I've read is structured pretty much the same way. They start off discussing histograms, probability, central tendency measure and then proceed to ANOVA, and close with Regression. The problem is, that if you fail to grasp any of the major concepts, you'll have little chance of understanding any of the ones down the road (that's the case not just with stats books, but with all math books and most other STEM subjects). That's what this book advertises to give you and that's what it delivers.

The real difference in books rests in the how they cover each of the topics. With this one, you'll quickly realize that Alan Anderson is very well versed in the subject matter and that he's obviously taught it to a lot of people. I say that b/c he does a superb job of explaining each topic in 'plain English' and does an even more impressive job at determining what depth to cover each topic in. in my case, i knew the material already but I can easily remember my days in undergrad when I was learning stats for the first time. And I remember how alien and difficult it seemed back then. The way Anderson keeps everything technical yet does so in very easy to understand manner is something I think you can only learn to do via a lot of practice. Yet make no mistake about it, while the discussion and wording is very straightforward, he doesn't skimp on technical detail. If you look at the discussion on probability for instance, he starts out with the very traditional examples and cuts it off right at the point that anything else would have been overkill. Each topic kept this same balance. Then when it finally gets to the more advanced material, he first sets the stage explaining real-world scenarios that the techniques are used to measure, then shows you how to do it.

I can go through bullet point by bullet point mentioning the details, but that really wouldn't do much good in this case. In each instance, he covers it with just enough detail to ensure you'll really get the topic, but never goes off to the point it gets boring (well, he might have overdone a little on the discussion on visualizations, but it's not a problem). he explains why the measures work, gives you examples of where they can be applied and shows you how to perform them. I've been involved in statistics for almost 20 years now and heard many different approaches to teaching it, but when I try to teach others stats, I seldom get very far. I have a long way to go before I could even begin to teach people stats anywhere near as well or as effortlessly as Anderson does. If you're taking Business Stats for an MBA or undergrad degree and find yourself slow to pick up the material, splurge for the $12.99 price of this book and use it to supplement your learning.

7 of 7 people found the following review helpful.
Not a Cliff Notes to Business Stats
By C
This is simply an abbreviated textbook. It will not provide a last minute read for Business Stats students cramming for finals nor is it a Cliff Notes version to use as an easy cheat for homework or projects. What it is, is simply an abbreviated version of a textbook. It works well if you have limited time to study Stats and have trouble with your current textbook, or for some who want/need a refresher.

Overall recommended if you some time to read it.

3 of 3 people found the following review helpful.
A fun introduction to Business Statistics
By Angela M. Hey
This basic introduction to business statistics is easy to read, with examples drawn from business situations. It tells you about probability distributions and why you would use them and certain statistical tests. It is classical in its approach. It's not about computational statistics or stochastic processes. There are references to Wikipedia for some tests like the Durbin-Watson test and the Cochrane-Orcutt procedure.

The material could be found in a basic business statistics textbook, where there would most likely be practice examples for the reader. So this is a compendium of known material, rather than anything radically new.

For the mathematician, progress through the book might seem slow. But for the MBA student, the mathematical concepts are clearly explained. Many statistics books lack insight into real world problems. This is not the case with this book, which gives good explanations of how, why and when you'd use a test.

It will be a useful reference book for anyone who needs to remind themselves of ANOVA, t-tests, F-tests, multiple regression and more.

See all 24 customer reviews...

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