European Mathematical Society - 62-01
https://euro-math-soc.eu/msc-full/62-01
enStatistics for Non-Statisticians
https://euro-math-soc.eu/review/statistics-non-statisticians
<div class="field field-name-field-review-review field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><div class="tex2jax"><p>As the author claims in the preface of the book, everything is nowadays supported by numbers. Hence, if numbers are such an important source of information, the art of dealing and assessing with statistical data material is becoming more and more essential in our society.<br />
The spirit of this book is a first course for practitioners. The word “first” means that the basic concepts of classical Statistics are all motivated from their fundamentals whereas “practitioner” (or non-statistician, as indicated in the own title) means that the presentation does not cover the mathematical theory behind those concepts but practical information and useful details thought, v.g., for planning and interpreting surveys.<br />
The book is organized in nine chapters. They successively introduce the basics in descriptive Statistics (that is, presentation, collection and description of data) and the main notions in classical analytical Statistics (confidence interval, linear regression, hypothesis testing, samplings,...). The emphasis is put on practical situations where all these ideas can be applied. This emphasis is intensified by a frequent (excessive?) use of exclamation marks found in those sentences containing the essential information. Additionally, every chapter shows an implementation of its topics within the framework of the statistical freeware Calc. The final chapter contains a summary of Probability and Statistics, a glossary of terms and, like most books in this field, tables of useful distributions.<br />
The presentation of the book, both visually and mathematically, is good and well organized and may provide a pleasant (and useful) reading for either statisticians and non-statisticians.</p>
</div></div></div></div><div class="field field-name-field-review-reviewer field-type-text field-label-inline clearfix"><div class="field-label">Reviewer: </div><div class="field-items"><div class="field-item even">Marco CASTRILLON LOPEZ</div></div></div><div class="field field-name-field-review-legacy-affiliation field-type-text field-label-inline clearfix"><div class="field-label">Affiliation: </div><div class="field-items"><div class="field-item even">Universidad Complutense de Madrid, Spain</div></div></div><div class="field field-name-field-review-desc field-type-text-long field-label-hidden"><div class="field-items"><div class="field-item even"><div class="tex2jax"><p>A quick and applied introduction to Statistics</p>
</div></div></div></div><span class="vocabulary field field-name-field-review-author field-type-taxonomy-term-reference field-label-inline clearfix"><h2 class="field-label">Author: </h2><ul class="vocabulary-list"><li class="vocabulary-links field-item even"><a href="/author/bierger-madsen" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">bierger madsen</a></li></ul></span><span class="vocabulary field field-name-field-review-publisher field-type-taxonomy-term-reference field-label-inline clearfix"><h2 class="field-label">Publisher: </h2><ul class="vocabulary-list"><li class="vocabulary-links field-item even"><a href="/publisher/springer" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">springer</a></li></ul></span><div class="field field-name-field-review-pub field-type-number-integer field-label-inline clearfix"><div class="field-label">Published: </div><div class="field-items"><div class="field-item even">2011</div></div></div><div class="field field-name-field-review-isbn field-type-text field-label-inline clearfix"><div class="field-label">ISBN: </div><div class="field-items"><div class="field-item even">978-3-642-17655-5</div></div></div><span class="vocabulary field field-name-field-review-msc field-type-taxonomy-term-reference field-label-hidden"><ul class="vocabulary-list"><li class="vocabulary-links field-item even"><a href="/msc/62-statistics" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">62 Statistics</a></li></ul></span><span class="vocabulary field field-name-field-review-msc-full field-type-taxonomy-term-reference field-label-hidden"><ul class="vocabulary-list"><li class="vocabulary-links field-item even"><a href="/msc-full/62-01" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">62-01</a></li></ul></span>Wed, 22 Feb 2012 10:39:38 +0000Anonymous45444 at https://euro-math-soc.euhttps://euro-math-soc.eu/review/statistics-non-statisticians#commentsEveryday Probability and Statistics. Health, Elections, Gambling and War
https://euro-math-soc.eu/review/everyday-probability-and-statistics-health-elections-gambling-and-war
<div class="field field-name-field-review-review field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><div class="tex2jax"><p>Information disseminated by newspapers, radio, television and so on brings a lot of data that we can use as support for our decisions. Since the decisions are made in an environment where uncertainty plays an important role, a scientific approach is also based on probability theory. It is easy to misinterpret given data, which leads to the well-known phrase “lies, damned lies and statistics” (L. H. Courtney). As for me, I prefer another phrase: “It is easy to lie with statistics. It is hard to tell truth without statistics” (A. Dunkels). And the author in the introduction correctly writes: “In the 21st century a cultured man should understand something about statistics otherwise he will be led by the nose by those who know how to manipulate statistics for their own ends”. </p>
<p>The book is a very elementary introduction to probabilistic and statistical thinking. The basic ideas are demonstrated on simple examples from everyday life, e.g. how to bet on a horse. There are also non-intuitive problems like the birthday problem and the problem about switching. As a more practical topic we find an application of probability theory to medicine. The elements of statistics presented in the book concern calculations of the mean and variance and normal and Poisson distributions. The book also contains parts devoted to predicting voting preferences, a sampling technique, some statistical tests and building probabilistic models. The author does not assume that the reader is familiar with mathematics. Because of that, an explanation on how to handle expressions like (22)3 is quite long and, similarly, a description of the definition of the number e is also very detailed. Some places in the book deserve critical remarks. The expectation of the normal distribution is called the mean and denoted by the same symbol as the arithmetical mean – this is confusing (p. 117). I cannot agree with the formulation “Assuming that the lifetimes have a normal distribution ...” (p. 120). The lifetimes are nonnegative and so they cannot have a normal distribution. It would be better to say that a normal distribution can be a good approximation to the unknown and perhaps very complicated true distribution of the lifetimes. The book can be recommended to students who are not specialists in mathematics.</p>
</div></div></div></div><div class="field field-name-field-review-reviewer field-type-text field-label-inline clearfix"><div class="field-label">Reviewer: </div><div class="field-items"><div class="field-item even">ja</div></div></div><span class="vocabulary field field-name-field-review-author field-type-taxonomy-term-reference field-label-inline clearfix"><h2 class="field-label">Author: </h2><ul class="vocabulary-list"><li class="vocabulary-links field-item even"><a href="/author/m-m-woolfson" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">m. m. woolfson</a></li></ul></span><span class="vocabulary field field-name-field-review-publisher field-type-taxonomy-term-reference field-label-inline clearfix"><h2 class="field-label">Publisher: </h2><ul class="vocabulary-list"><li class="vocabulary-links field-item even"><a href="/publisher/imperial-college-press" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">imperial college press</a></li></ul></span><div class="field field-name-field-review-pub field-type-number-integer field-label-inline clearfix"><div class="field-label">Published: </div><div class="field-items"><div class="field-item even">2008</div></div></div><div class="field field-name-field-review-isbn field-type-text field-label-inline clearfix"><div class="field-label">ISBN: </div><div class="field-items"><div class="field-item even">978-1-84816-031-6 </div></div></div><div class="field field-name-field-review-price field-type-text field-label-inline clearfix"><div class="field-label">Price: </div><div class="field-items"><div class="field-item even">GBP 35</div></div></div><span class="vocabulary field field-name-field-review-msc field-type-taxonomy-term-reference field-label-hidden"><ul class="vocabulary-list"><li class="vocabulary-links field-item even"><a href="/msc/62-statistics" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">62 Statistics</a></li></ul></span><span class="vocabulary field field-name-field-review-msc-full field-type-taxonomy-term-reference field-label-hidden"><ul class="vocabulary-list"><li class="vocabulary-links field-item even"><a href="/msc-full/62-01" typeof="skos:Concept" property="rdfs:label skos:prefLabel" datatype="">62-01</a></li></ul></span>Thu, 19 May 2011 09:34:41 +0000Anonymous39125 at https://euro-math-soc.eu