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On 12 February, the Centre for Digital Humanities organises a webinar about "Principles of Statistical Analysis", led by Prof. Hugo Quené (Languages, Literature and Communication).

The webinar

Following the "empirical turn", and with "big data" becoming widely available in many shapes and forms, many disciplines have turned towards quantitative or statistical methods to make meaning from data. Rather than offering yet another introduction to statistics, in this talk Hugo Quené will present a few major principles underlying statistical analysis in general. Among these principles are the following. Data are sampled, and data vary systematically and randomly, as described by rules of probability. Because of this variation, exploratory statistical techniques, and statistical tests of significance, may produce misleading results. The researcher's skilled interpretation of a study and of its statistical results is always required. If all goes well, statistical analysis results in a statistical model, which captures essential patterns in the data, and which predicts new data accurately. These key principles of statistical analysis allow researchers to give meaning to data.