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Confirmation bias, also called myside bias, is the tendency to search for, interpret, or recall information in a way that confirms one's beliefs or hypotheses.David Perkins, a geneticist, coined the term "myside bias" referring to a preference for "my" side of an issue. -- Wikipedia
** Unmasking Biased Data: A Parent's Student's Guide** **
https://singapore-sites.0vkuo.upcloudobjects.com/math-tuition/psle/checklist-for-identifying-biased-data-in-secondary-school-statistics.html
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We're going to tackle a tricky area: probability. Now, probability isn't just some abstract concept you learn in school. It's everywhere! From deciding whether to chiong (rush) for that bus to figuring out if you should
https://math-tuition-singapore.s3.fr-par.scw.cloud/secondary-2-math/exams/common-mistakes-in-applying-probability-to-real-world-scenarios.html
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** Data Bias: The Hidden Saboteur of Your Child's Math Results**
https://singaporeboleh.neocities.org//singapore/psle/statistics-project-pitfalls-avoiding-bias-and-misrepresentation-of-data
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Applications of Mathematics: Decoding the World Around Us
https://singapore-sites.b-cdn.net/math-tuition/4/applications-of-mathematics-avoiding-pitfalls-in-data-interpretation.html
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Okay, so how do we actually *know* if data is reliable? Here are a few key metrics to keep in mind, especially as they relate to the Singapore Secondary 4 E-Math syllabus:
https://singapore-sites.b-cdn.net/math-tuition/4/metrics-for-assessing-the-reliability-of-statistical-data-in-e-math.html
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Think of it like this: Imagine your child is baking a cake. If they use the wrong measurements (unreliable data!), the cake might end up flat, burnt, or taste like...well, something other than cake. Same goes for E-Math!
https://singapore.sgp1.vultrobjects.com/math-tuition/4/metrics-for-assessing-the-reliability-of-statistical-data-in-e-math.html
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In January, data scientist and journalist Gianluca Mauro decided to use himself as a test subject, to see how artificial intelligence-driven algorithms treat images on social media.
https://gijn.org/stories/tips-for-investigating-algorithm-harm-and-avoiding-ai-hype/
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** Data Detectives: Unmasking Bias in Secondary 1 Math** **
https://sin1.contabostorage.com/1b1035b8bfe7475b9dcbc7a2a7300493:sg-blog/maths-tuition/psle/how-to-avoid-bias-in-data-collection-a-guide-for-students.html
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** Unraveling the Past: A Journey into Social Studies Source Analysis** **
https://blogs-singapore.s3.us.cloud-object-storage.appdomain.cloud/math-tuition/4/checklist-for-effective-social-studies-source-analysis.html
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** Beware the Invisible Skewers: Navigating Biases in Statistics for Your Secondary 4 Math Journey** **
https://singapore-sites.y0h0.c19.e2-5.dev/math-tuition/psle/statistics-mistakes-avoiding-bias-in-data-collection-for-secondary-4.html
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