4 edition of statistical argument found in the catalog.
Richard Melville Cormack
|Statement||(by) R.M. Cormack.|
|Series||Contemporary science paperbacks -- 45|
|The Physical Object|
|Number of Pages||168|
Marty is the author of Elementary Statistics, Elementary Statistics Using Excel, Elementary Statistics Using the TI/84 Plus Calculator, Essentials of Statistics, and a co-author of Biostatistics for the Biological and Health Sciences, Statistical Reasoning for Price: $ Purchase Statistical Methods - 3rd Edition. Print Book & E-Book. ISBN ,
A statistical argument passes the Proper Form Test when: (1) It can be put into the General or Particular standard form. (2) The sample used in the argument is sufficiently representative. Remember: because statistical arguments are inductive, they may pass the Proper Form Test to a greater or lesser degree. Internal Report SUF–PFY/96–01 Stockholm, 11 December 1st revision, 31 October last modiﬁcation 10 September Hand-book on STATISTICAL.
The focus of the book is that the purpose of statistics is to organize a useful argument from quantitative evidence, using a form of principled rhetoric. Five criteria, described by the acronym MAGIC (magnitude, articulation, generality, interestingness, and credibility) are proposed as crucial features of a persuasive, principled argument.5/5(2). The argument is a relatively strong one, however, since the conclusion is probably true if the premise is true. Causal Arguments Causal arguments usually appear in explanations. An example of a causal argument is a scientific hypothesis that explains a natural event e.g.. lower global temperatures result from increased volcanic activity.
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Abelson's Statistics as Principled Argument is a must read for advanced undergraduates or graduate students learning statistics. Abelson really explains why we do statistics the way we do, and how to construct and deconstruct a statistical argument. Abelson has a very lucid writing style which makes the book a very quick by: statistical claims about the population as a whole” ().
(These are traditionally referred to as “inductive” arguments.) B. Consider an example: I’ve been to Espresso Royale a bunch of times to get coffee and they have had a line every time; thus, Espresso Royale always has a line C.
Evaluating statistical generalizations: Size: KB. Abelson's Statistics as Principled Argument is a must read for advanced undergraduates or graduate students learning statistics. Abelson really explains why we do statistics the way we do, and how to construct and deconstruct a statistical argument.
Abelson has a very lucid writing style which makes the book a very quick read/5(12). The other major issue for a statistical argument involves something known as representativeness. If the sample population statistical argument book going to be used to generalize and project onto the target population, then the sample population must be representative.
The book makes the point of the title: Statistics should be presented as part of a principled argument. You are trying to make a case, and your argument will be better if it meets certain criteria; but which criteria are the right ones.
In Statistics as Principled Argument, Abelson lists five criteria by which to judge a statistical argument. What we are doing in evaluating statistical generalizations is determining whether the premise in our argument is true (or at least well-supported by the evidence).
For example, consider the following inductive argument, whose premise is a (partial) statistical generalization: 1. 70% of voters say they will vote for candidate X 2. The statistical syllogism was used by Donald Cary Williams and David Stove in their attempt to give a logical solution to the problem of induction.
They put forward the argument, which has the form of a statistical syllogism: The great majority of large samples of a population approximately match the population (in proportion). COVID Resources.
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The MAGIC criteria are a set of guidelines put forth by Robert Abelson in his book Statistics as Principled this book he posits that the goal of statistical analysis should be to make compelling claims about the world and he presents the MAGIC criteria as a way to do that.
Start studying PHIL Ch. 8: Statistical Arguments. Learn vocabulary, terms, and more with flashcards, games, and other study tools. Excel b has a variety of functions for statistical analysis. The Function Library area of the Formulas tab shows all categories of Excel worksheet functions.
The steps in using a worksheet function are Type your data into a data array and select a cell for the result. They come in a variety of forms, including: statistical generalizations, statistical applications, causal reasoning, inference to the best explanation, arguments from analogy C.
Differences between deductive and inductive arguments: 1. Deductive arguments are monotonic, while inductive arguments.
A persuasive (statistical) argument has MAGIC; Magnitude, Articulation, Generality, Interestingness, Credibility. The book does not explain different statistical techniques, but does gives very practical advice on how to use the outcomes and what possibilities are to /5(9).
The researchers concluded that 43% of Americans spend at least two hours per day recreationally. Chapter 8 - Statistical Arguments Parts of the Stats Argument Statistical Argument Form 2 Number of things in the sample N 3.
Relevant property F 4. Target group / target. In the following infographic, App Data Room presents a statistical argument for customer advocacy. You may or may not have heard of the term "customer advocacy." This is defined as a specialized form of customer service where companies focus on "what is best for their customers.".
Get this from a library. Statistics as principled argument. [Robert P Abelson; John W Tukey] -- The author delves into the too-often-dismissed problems of interpreting quantitative data and then presenting them in the context of a coherent story about one's research The focus of the book is.
Prof. Matt McCormick's Critical Thinking course lecture on statistical arguments. The Argument of His Book. I sing of brooks, of blossoms, birds, and bowers, Of April, May, of June, and July-flowers.
I sing of maypoles, hock-carts, wassails, wakes,Author: Carol Rumens. A statistical argument is an inductive argument (under an inductive formal language) that is supported by a random sample.
AKA: Statistical Inference; Context: It can abide; Counter-Example(s): a Deductive Argument (e.g. a Causal Argument, Propositional Argument). an. Fallacies, StatisticalBIBLIOGRAPHYThis article will be mainly concerned with statistical fallacies, but it should be noted that most other fallacious types of reasoning can be carried over into fallacies seem foolish when pinpointed, but they are not the prerogative of fools and statisticians.
Great men make mistakes, and when they admit them remorsefully, they reveal a facet. Computer Age Statistical Inference: Algorithms, Evidence and Data Science by Bradley Efron and Trevor Hastie is a brilliant read. If you are only ever going to buy one statistics book, or if you are thinking of updating your library and retiring a dozen or so dusty stats texts, this book would be an excellent choice.
In carefully crafted pages, Efron and Hastie examine the last years.About the Book. This is a new approach to an introductory statistical inference textbook, motivated by probability theory as logic. It is targeted to the typical Statistics college student, and covers the topics typically covered in the first semester of such a course.4/5(2).Citation Machine® helps students and professionals properly credit the information that they use.
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