Applied Statistics Using SPSS, STATISTICA, MATLAB and R by Joaquim P. Marques de Sá

By Joaquim P. Marques de Sá

This useful reference offers a complete creation and educational at the major statistical research themes, demonstrating their resolution with the most typical software program package deal. meant for a person wanting to use statistical research to a wide number of technology and enigineering difficulties, the publication explains and exhibits how one can use SPSS, MATLAB, STATISTICA and R for research comparable to info description, statistical inference, class and regression, issue research, survival facts and directional information. It concisely explains key thoughts and strategies, illustrated by way of sensible examples utilizing genuine facts, and incorporates a CD-ROM with software program instruments and knowledge units. Readers research which software program instruments to use and achieve insights into the comparative features of the first software program applications. significant advancements of the second one variation are the inclusion of the R language, a brand new part on bootstrap estimation tools and a much better remedy of tree classifiers in addition to additional examples and exercises.

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5. 2, assuming that the frequencies are correct estimates of the probabilities. Several discrete distributions are described in Appendix B. An important one, since it occurs frequently in statistical studies, is the binomial distribution. It describes the probability of occurrence of a “success” event k times, in n independent trials, performed in the same conditions. The complementary “failure” event occurs, therefore, n – k times. The probability of the “success” in a single trial is denoted p.

Tirso 101 125 36 40 38 Montalegre 80 111 34 33 31 Bragança 36 102 37 36 35 Mirandela 24 98 40 40 38 M. Douro 39 96 37 37 35 Régua 31 109 41 41 40 ... 2 Operating with the Data After having read in a data set, one is often confronted with the need of defining new variables, according to a certain formula. , exchanging the roles of columns and rows. In this section, we will present only the fundamentals of such operations, illustrated for the meteorological dataset. We further assume that we 1 Column or row names should preferably not use reserved R words.

Notice also the indispensable Description datasheet, where all the necessary information concerning the meaning of the data, the definitions of the variables and of the cases, as well as the source and possible authorship of the data should be supplied. 1. The meteorological dataset presented as an EXCEL file. 30 2 Presenting and Summarising the Data Carrying out this dataset into SPSS, STATISTICA or MATLAB is an easy task. , using the CTRL+V keys). In R data has to be read from a text file. One can also, of course, type in the data directly into the SPSS or STATISTICA spreadsheets or into the MATLAB command window or the R console.

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