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Testing versus inferring

This is the second post in our ‘eat your greens’ series – a back to basics look at some of the core concepts of statistics and analytics that, in our experience, are frequently misunderstood or misapplied. In this post we’ll look in more depth at the concept of testing versus inferring. One of most daunting …

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Just because something is statistically significant doesn’t mean it’s practically significant

This post is the first in a short series that we’re calling ‘eat your greens’ – a back to basics look at some of the core concepts of statistics and analytics that, in our experience, are frequently misunderstood or misapplied. In this first post we’ll look in more depth at the concept of statistical significance. …

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PS Imago Pro – an overview of additional charting capabilities not available in IBM SPSS Statistics

PS Imago Pro is a statistical analysis and reporting solution based on IBM SPSS Statistics. Indeed, apart from the inclusion of an additional menu, users of SPSS Statistics may find that the data analysis module of PS Imago Pro looks almost identical to its SPSS counterpart. However, as Figure 1 shows, this additional menu contains …

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Using the find all() Function to search for nodes

Most SPSS Modeler scripts include code that locates an existing node e.g.: stream = modeler.script.stream() typenode = stream.findByType(“type”, None) However, some scripts need to search for all nodes – maybe by node type but also matching some other criteria. The Modeler scripting API documentation (PDF) mentions a findAll() function: d.findAll(filter, recursive): Collection filter (NodeFilter) : the node filter recursive …

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An overview of the four main approaches to predictive analytics

This infographic provides an overview of the four main families of approaches to predictive analytics. Prediction encompasses applications that aim to estimate or predict the values of a key target field. Segmentation refers to techniques such as cluster analysis which attempt to find the most ‘naturally occurring” groups within a dataset. Association modelling discovers groups …

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