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Friday, May 31 • 1:15pm - 2:30pm
Are school test results correlated with family income? Working on relational statistics in Excel

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This session is intended to move your spreadsheet journalism up a notch. Participants will be introduced to statistical concepts, and how to prove or disprove whether two variables correlate. We will be using linear regression to show how to verify whether school test results and family income are correlated. Participants will be able to work in the context of their own country to understand the dynamics between family income and pupils' test scores, and learn how to report these results in plain language. We want to appetite for correlations and equip them with vital statistical concepts, and ways to do it without coding. The participants should be comfortable running basic Excel functions and be comfortable to work in a spreadsheet. They should NOT have very advanced statistical knowledge.

Speakers
avatar for Crina Boros

Crina Boros

Investigative Reporter | Data Journalism Visiting Lecturer
A data-driven watchdog reporter based in London, I've also been training data journalism across the map. An IRE member and offspring of the Centre for Investigative Journalism (CIJ), I've published with Reuters, the BBC, ICIJ, openDemocracy, Greenpeace Unearthed, Euobserver, The Black... Read More →
avatar for Rob Gebeloff

Rob Gebeloff

Reporter, New York Times
Robert Gebeloff has worked as a data projects reporter for The New York Times since 2008 and has taught data journalism for many years in newsrooms and at conferences. He was co-winner of the George Polk Award in 2015 and was a Pulitzer Prize finalist in both 2015 and 2016 for projects... Read More →


Friday May 31, 2024 1:15pm - 2:30pm CEST
2.09
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