What's both massive and slender, and thin but convincing?
Answer: poll results with a 52% –48% split.Rob Gandy examines the contradictory adjectives used by the media to describe the same numbers in different contexts (Source: Significance)
Source: Significance - November 1, 2021 Category: Statistics Authors: Rob Gandy Tags: Statscomm Source Type: research
Contents
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Source: Significance - September 30, 2021 Category: Statistics Tags: Contents Source Type: research
A welcome return to normal
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Source: Significance - September 30, 2021 Category: Statistics Authors: Brian Tarran Tags: Notebook Source Type: research
News
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Source: Significance - September 30, 2021 Category: Statistics Tags: Notebook Source Type: research
Books
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Source: Significance - September 30, 2021 Category: Statistics Tags: Perspectives Source Type: research
Letters
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Source: Significance - September 30, 2021 Category: Statistics Tags: Letter Source Type: research
Inference using non ‐random samples? Stop right there!
Statistical inference allows researchers to learn things about a population using only a sample of data from that population. But if it isn't a random sample, inference becomes tricky or outright impossible, asNorbert Hirschauer, Sven Gr üner, Oliver Mußhoff, Claudia Becker andAntje Jantsch explain (Source: Significance)
Source: Significance - September 30, 2021 Category: Statistics Authors: Norbert Hirschauer,
Sven Gr üner,
Oliver Mußhoff,
Claudia Becker,
Antje Jantsch Tags: Features Source Type: research
How to catch a phish with statistics
Rakesh M. Verma andDavid J. Marchette show how text analysis can be used to spot scam emails and prevent so-called “phishing” attacks (Source: Significance)
Source: Significance - September 30, 2021 Category: Statistics Authors: Rakesh M. Verma,
David J. Marchette Tags: Features Source Type: research
Who was the best Friend?
A quantitative analysis of the TV seriesFriends, byMathias Basner (Source: Significance)
Source: Significance - September 30, 2021 Category: Statistics Authors: Mathias Basner Tags: Perspectives Source Type: research
A closer look at the lady tasting tea
John T. E. Richardson provides an update on Dr Blanche Muriel Bristol – the lady who reportedly claimed to be able to tell whether the milk or the tea had been added first to her cups of tea (Source: Significance)
Source: Significance - September 30, 2021 Category: Statistics Authors: John T. E. Richardson Tags: Profiles Source Type: research
What's the big idea? Deep learning algorithms
Deep learning algorithms are modern “media darlings” – and for good reason, asEran Raviv explains (Source: Significance)
Source: Significance - September 30, 2021 Category: Statistics Authors: Eran Raviv Tags: Profiles Source Type: research
Paper Cuts
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Source: Significance - September 30, 2021 Category: Statistics Tags: Notebook Source Type: research
Race and the NFL: Teaching the chi ‐square goodness of fit test
Guest lecturer:Craig A. Foster, professor in the Psychology Department at SUNY Cortland (Source: Significance)
Source: Significance - September 30, 2021 Category: Statistics Authors: Craig A. Foster Tags: Statscomm Source Type: research
The history of the data economy: Part III: The new kings and queens of data
Data is now the fuel that drives business – identifying potential markets, shaping new products and targeting consumers. To understand where we may be heading next,Significance has partnered withImpact, the magazine of the Market Research Society, to jointly publish a series exploring the past, present and future of the data economy. This third part tells the story of the evolution of social media, which created rich and detailed data sources and positioned tech giants as data economies in their own right. ByTimandra Harkness (Source: Significance)
Source: Significance - September 30, 2021 Category: Statistics Authors: Timandra Harkness Tags: Features Source Type: research
