Applied statistics: using SPSS, STATISTICA, MATLAB and R by Joaquim P. Marques de Sá PDF

By Joaquim P. Marques de Sá

ISBN-10: 3540719717

ISBN-13: 9783540719717

Meant for an individual desiring to use statistical research to a wide number of technological know-how and engineering difficulties, this publication indicates the best way to use SPSS, MATLAB, STATISTICA and R for facts description, statistical inference, type and regression, issue research, survival info and directional facts. The second variation contains the R language, a brand new part on bootstrap estimation equipment and a more robust remedy of tree classifiers, plus extra examples and workouts.

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Extra info for Applied statistics: using SPSS, STATISTICA, MATLAB and R

Example text

Common sense (and other senses as well) rejects such a claim. ; maybe the 1996 sample was collected in at-risk foetuses with lower baseline measurements; and so on. As a matter of fact, when dealing with large samples even a small compositional difference may sometimes produce statistically significant results. 02). , the statistically significant difference of 1 bpm has no practical significance. Inferring causality from data is even a riskier endeavour than simple comparisons. An often encountered example is the inference of causality from a statistically significant but spurious correlation.

2 we were dealing with a random sample extracted from a population of a very large number of students, attending the course and subject to an examination under the same conditions. Thus, only one random variable plays a role here: the student variability in the apprehension of knowledge. Consider, further, that we wanted to statistically assess the statement “the student performance is 3 or above”. 74. 50 The question is how reliable this estimate is. 74) is zero. We then loose a bit of our innate and candid faith in exact numbers, relax our exigency, and move forward to thinking in terms of intervals around pˆ (interval estimate).

2 STATISTICA Data Entry With STATISTICA one starts by creating a new data file (File, New) with the desired number of variables and cases, before pasting or typing in the data. There is also the possibility of using any previous template data file and adjusting the number of variables and cases (click the right button of the mouse over the variable column(s) or case row(s) or, alternatively, use Insert). One may proceed to define the variables, by assigning them a specific name and declaring their type.

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Applied statistics: using SPSS, STATISTICA, MATLAB and R by Joaquim P. Marques de Sá


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