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[Kristin H Jarman]The Art of Data Analysis How to Answer Almost any Question Using Basic Statistics(pdf){Zzzzz}

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Description

 							
  
  
  Book Description
  Publication
Date: April 17, 2013
  
  A friendly and accessible approach to applying statistics in the real world
  
  With an emphasis on critical thinking, The Art of Data Analysis: How to Answer Almost Any Question Using
Basic Statistics presents fun and unique examples, guides readers through the entire data collection and analysis
process, and introduces basic statistical concepts along the way.
  
  Leaving proofs and complicated
mathematics behind, the author portrays the more engaging side of statistics and emphasizes its role as a
problem-solving tool. In addition, light-hearted case studies illustrate the application of statistics to real data
analyses, highlighting the strengths and weaknesses of commonly used techniques. Written for the growing academic and
industrial population that uses statistics in everyday life, The Art of Data Analysis: How to Answer Almost Any Question
Using Basic Statistics highlights important issues that often arise when collecting and sifting through data. Featured
concepts include:
  
  • Descriptive statistics
  • Analysis of variance
  •
Probability and sample distributions
  • Confidence intervals
  • Hypothesis tests
  •
Regression
  • Statistical correlation
  • Data collection
  • Statistical analysis
with graphs
  
  Fun and inviting from beginning to end, The Art of Data Analysis is an ideal book for
students as well as managers and researchers in industry, medicine, or government who face statistical questions and are
in need of an intuitive understanding of basic statistical reasoning.
  
  Editorial Reviews
  Review
  
  “Summing Up: Recommended. Lower-division undergraduates, two-year technical program students, and
general readers.” (Choice, 1 December 2013)
  
   
  From the Back
Cover
  
  A friendly and accessible approach to applying statistics in the real world
  
  With an emphasis on critical thinking, The Art of Data Analysis: How to Answer Almost Any Question Using Basic
Statistics presents fun and unique examples, guides readers through the entire data collection and analysis process, and
introduces basic statistical concepts along the way.
  
  Leaving proofs and complicated mathematics behind,
the author portrays the more engaging side of statistics and emphasizes its role as a problem-solving tool. In addition,
light-hearted case studies illustrate the application of statistics to real data analyses, highlighting the strengths
and weaknesses of commonly used techniques. Written for the growing academic and industrial population that uses
statistics in everyday life, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics
highlights important issues that often arise when collecting and sifting through data. Featured concepts include:
 

   Descriptive statistics
   Probability and sample distributions
   Hypothesis tests
  
Statistical correlation
   Statistical analysis with graphs
   Analysis of variance
   Confidence
intervals
   Regression
   Data collection
  
  Fun and inviting from beginning to end, The Art of
Data Analysis is an ideal book for students as well as managers and researchers in industry, medicine, or government who
face statistical questions and are in need of an intuitive understanding of basic statistical reasoning. 
  
 
Publisher: Wiley; 1 edition (April 17, 2013)
  Sold by: Amazon Digital Services,
Inc.
  Language: English
  ASIN: B00CG2KFPA
  
  Most Helpful
Customer Reviews
  
  Colloquial Introduction to Statistics May 15, 2014
  By Amazon
Customer
  It seems like it would be the perfect book for one audience and a rather bland and slow book for
others. So... if you've struggled with statistics, don't like it, aren't interested but need to learn it, get this and
the comical examples and colloquial writing style will help get you to where you want to be. If you're impatient to
learn statistics, and have any scientific or mathematical background, this is going to be a slow read with a lot of
skimming/skipping.
  
  Whichever audience you fall into, the examples are accurate and relate to the topics
being discussed. The first example revolves around big foot and camera selection and the statistics concepts covered are
blocking, replication, random samples and random sampling. Again, the example is related well to statistics topics at
hand, but the page space dedicated to big foot is likely a distraction for one group, and a hook for another.
  
  It is engaging and of the right technical depth that you will learn the concepts, without getting too bogged down in
the details (proofs and equations). That's not to say that you do not get equations, but it does mean that the primary
focus is on concepts and application as opposed to solving equations by hand.
  
  The main downside
regardless of audience is the text book like price, so grab it for Kindle, get it used.
  
  An great
intro to the world of data analysis June 10, 2013
  By Gustav Hoyer
  As a management consultant, I
encounter the use, and misuse, of statistics on a regular basis. This book is a practical and enjoyable introduction
into the world of more advanced data analysis tools. Each chapter presents a playful story for the investigation of
statistical tools. The author has avoided lengthy proofs and derivations, and helpfully focuses on the tools themselves,
and the logic behind them. I highly recommend it for anyone in Financial Analysis, Marketing, or Lean (Six Sigma)
settings. It's a straightforward read, and will get you grounded in statistics quickly.
  
  A good
statistics story May 15, 2014
  By Sukru Tikves VINE VOICE
  This is an interesting book on learning
practical statistics. Instead of going the regular college textbook route, the author tries to explain the basic
concepts in everyday stories. I must be frank, the stories are not always sensical, however they seem to have a good way
to infer how the data analysis will be used.
  
  And the most important keyword is "how they are applied".
Usually, when you "learn" statistics, you'll learn a bunch of concepts like "mean", "median", and many more complicated
ones, however not learn how they are applied in real life (I'm talking about the general case, and of course there are
exceptions).
  
  This book seems to require basic familiarity with those concepts, and also probably having a
good knowledge on your data. Nevertheless it is a good supplemental resource. 						

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