## Applied Statistics Using SPSS, STATISTICA and MATLAB: Using Spss, Statistica and MatlabAimed at students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA, this text provides a comprehensive coverage of the main statistical analysis topics important for practical applications such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The relevant notions and methods are explained concisely, illustrated with practical examples using real data, presented with the distinct intention of clarifying sensible practical issues. The solutions presented in the examples are obtained with one of the software packages in a pedagogical way. It provides guidance on how to use SPSS, MATALB and STATISTICA in statistical analysis applications without having to delve in the manuals. The accompanying CD-Rom includes several specific software tools for the topics described in the book, including a set of MATLAB functions for directional statistics as well as the data sets used in the examples and exercises covering a broad spectrum of areas from engineering, medicine, biology, psychology, economy, geology, and astronomy. |

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### Contents

Introduction | 1 |

Presenting and Summarising the Data | 21 |

Exercises | 63 |

Estimating Data Parameters | 67 |

Exercises | 83 |

Exercises | 137 |

Exercises | 186 |

Exercises | 233 |

ChiSquare Distribution | 417 |

Critical Values for the F Distribution | 418 |

Appendix E Datasets | 419 |

Cells | 420 |

Cork Stoppers | 421 |

CTG | 422 |

Culture | 423 |

FHR | 424 |

Exercises | 281 |

Data Structure Analysis | 283 |

Exercises | 302 |

Exercises | 324 |

Appendix A Short Survey on Probability Theory | 353 |

Bayes Theorem | 359 |

Multivariate Distributions | 372 |

Appendix B Distributions | 381 |

Continuous Distributions | 389 |

8 Students t Distribution | 399 |

9 F Distribution | 401 |

10 Von Mises Distributions | 402 |

Point Estimation | 405 |

Estimation of Mean and Variance | 406 |

Tables | 409 |

Normal Distribution | 415 |

Students t Distribution | 416 |

Firms | 425 |

Forest Fires | 426 |

Heart Valve | 427 |

Infarct | 428 |

Metal Firms | 429 |

Neonatal | 430 |

Rocks | 431 |

Soil Pollution | 432 |

Stock Exchange | 433 |

VCG | 434 |

Wines | 435 |

Appendix F Tools | 437 |

Tools EXCEL File | 438 |

439 | |

447 | |

### Other editions - View all

Applied Statistics Using SPSS, STATISTICA, MATLAB and R Joaquim P. Marques de Sá Limited preview - 2007 |

Applied Statistics Using SPSS, STATISTICA, MATLAB and R Joaquim P. Marques de Sá No preview available - 2009 |

### Common terms and phrases

analysis ANOVA test assess assume ASTV binomial chi-square chi-square distribution classifier coefficients column computed confidence interval confidence level Consider contingency table cork-stopper correlation corresponding covariance matrix degrees of freedom denote density function Determine discrimination distribution function equal event Example factor foetal weight formula frequencies Graphs histogram independent samples level of significance linear regression MATLAB MATLAB commands mean direction measurements median Mises distribution normal distribution null hypothesis observed obtained with SPSS obtained with STATISTICA parameters percentile performed point estimate population Porto predictor principal components probability function random variable ranks regression model reject the null respectively ROC curve sample mean sampling distribution sequence shown in Figure shown in Table specific SPSS and MATLAB standard deviation standardised STATISTICA and SPSS sum of squares survivor function test statistic values variable ART variance vector von Mises distribution zero

### References to this book

Allianzfähigkeit: Konzeption, Messung, Determinanten, Auswirkungen Oliver Schilke No preview available - 2007 |