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Schaum's Outline of Probability and Statistics (Schaum's Outline Series)
 
 
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Schaum's Outline of Probability and Statistics (Schaum's Outline Series) (Paperback)

by Murray R Spiegel (Author), John J. Schiller (Author), R. Alu Srinivasan (Author) "We are all familiar with the importance of experiments in science and engineering ..." (more)
2.7 out of 5 stars  See all reviews (3 customer reviews)

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Product details

  • Paperback: 408 pages
  • Publisher: Schaum's Outlines; 2 edition (1 April 2000)
  • Language English
  • ISBN-10: 0071350047
  • ISBN-13: 978-0071350044
  • Product Dimensions: 27.4 x 20.6 x 2.3 cm
  • Average Customer Review: 2.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon.co.uk Sales Rank: 70,783 in Books (See Bestsellers in Books)

    Popular in this category:

    #91 in  Books > Scientific, Technical & Medical > Mathematics > Applied Mathematics > Statistics & Probability

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  • See Complete Table of Contents

Product Description

Product Description

Master probability and statistics with "Schaum's" - the high-performance study guide. It will help you study efficiently, develop problem-solving skills, and achieve your personal best on exams! Students love "Schaum's Outlines" because they produce results. Each year, hundreds of thousands of students improve their test scores and final grades with these indispensable study guides. If you don't have a lot of time but want to excel in class, use this book to: brush up before tests; find answers fast; study quickly and more effectively; and, get the big picture without spending hours poring over lengthy textbooks."Schaum's Outlines" give you the information your teachers expect you to know in a handy and succinct format--without overwhelming you with unnecessary detail. You get a complete overview of the subject. Plus, you get plenty of practice exercises to test your skill. Compatible with any classroom text, "Schaum's" let you study at your own pace and remind you of all the important facts you need to remember - fast! And "Schaum's" are so complete, they're perfect for preparing for graduate or professional exams.Inside you will find: 760 fully-worked problems with step-by-step solutions; hundreds of additional practice problems with answers; coverage of all course fundamentals; and, easy-to-understand methodology. If you want top grades and a thorough understanding of probability and statistics, this powerful study tool is the best tutor you can have! Chapters include: Basic Probability; Random Variables and Probability Distributions; Mathematical Expectation; Special Probability Distributions; Sampling Theory; Estimation Theory; Tests of Hypotheses and Significance; Curve Fitting, Regression, and Correlation; Analysis of Variance; and, Nonparametric Tests.


Book Description

Schaum's Outline of Probability and Statistics, 2/e is an introduction to calculus-based statistics and probability, covering all the topics in statistics and probability courses directed to mathematics, natural-science, and engineering students. Probability theory supplies a methodology through which statistics can be used to draw conclusions on the basis of analysis of data like sampling theory, and prediction or forecasting. Since the text is calculus-based, it is above the level of elementary probability and statistics courses taken by a general college audience. It assumes a general familiarity with the subject matter, is geared mostly toward students in engineering or science majors.
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We are all familiar with the importance of experiments in science and engineering. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews

3 Reviews
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Average Customer Review
2.7 out of 5 stars (3 customer reviews)
 
 
 
 
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10 of 10 people found the following review helpful:
5.0 out of 5 stars Excellent statistics college level finals training program., 20 Aug 1996
By A Customer
This review is from: Schaum's Outline of Theory and Problems of Probability and Statistics (Paperback)
As with all Schaum Outlines series, this is an excellent book for every college/univserity degree level student facing the statistics finals. Over 800 pages long, hundreds of examples, covering descriptive and inductive methods at length , together with the vital mathematical theory give the reader the background needed to pass any statistics finals. I used this when learning for mine, and it worked out great.
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2 of 4 people found the following review helpful:
2.0 out of 5 stars poor explantion....could be better, 26 Mar 2007
By J. J. Ross (Hertfordshire, England) - See all my reviews
(REAL NAME)   
The downfall of this particular text is the extent at which particular knowledge is assumed. This text fails to explain thoroughly some important concepts and i would suggest that you opt for something called 'understanding statistics' by oxford university press. That book takes a different approach, by placing questions into context and written explanation takes up the majority of the book. Overall this book is good as a 'refresher' but those starting a statistics course will find this hard to follow. How long will it take before people realise that you cant learn just from worked examples?
While im on this criticizing streak i might as well talk about the flimsy, cheap quality of the schaum books. Why is it that the pages are so thin and tear soo easily?
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0 of 2 people found the following review helpful:
1.0 out of 5 stars Very poor Explanation, 5 Nov 2008
By Chuka Udeze (Aberdeen, UK) - See all my reviews
(REAL NAME)   
This book is full of Statistical calculation problems and some worked examples without adequate or deeper Theoretical explanation of the concepts, hence making it difficult to use as a beginer, I would prefer Statistics and Probability for Engineers and Scientist by Hayter especially if you are an Engineering or Science Student, however if you are already well grounded in Advanced statistics and probability and looking for some problems to solve, it might be useful, for me, it's not. I recommend using it in conjuction with another book that will explain the concepts better
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