Statistical paradoxes | Probability fallacies

Base rate fallacy

The base rate fallacy, also called base rate neglect or base rate bias, is a type of fallacy in which people tend to ignore the base rate (i.e., general prevalence) in favor of the individuating information (i.e., information pertaining only to a specific case).Base rate neglect is a specific form of the more general extension neglect. (Wikipedia).

Base rate fallacy
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Statistics: Ch 7 Sample Variability (11 of 14) What is "The Standard Error of the Mean"?

Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 What is “the standard error of the mean”? It is the standard deviation (of the sampling distribution) of the sample means. Previous

From playlist STATISTICS CH 7 SAMPLE VARIABILILTY

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Computing z-scores(standard scores) and comparing them

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Computing z-scores(standard scores) and comparing them

From playlist Statistics

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Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

From playlist Statistics (Full Length Videos)

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What the ςΓΣΣκ is a Standard Deviation???

Simple explanation of What is a Standard Deviation. In English, not Greek! Visit us at http://www.statisticshowto.com for more videos and articles.

From playlist Basic Statistics (Descriptive Statistics)

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Covariance (1 of 17) What is Covariance? in Relation to Variance and Correlation

Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the difference between the variance and the covariance. A variance (s^2) is a measure of how spread out the numbers of

From playlist COVARIANCE AND VARIANCE

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What Are Logical Fallacies? | Tips for Better Communication and Debate Skills

Have you ever gotten into an argument that you just couldn’t win? Did it feel like the other person was using deceptive tactics in order to persuade you? Well there’s a good chance you were struggling with someone who was using logical fallacies, whether they knew it or not. In this epis

From playlist Wondrium Perspectives

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Lecture 16: Utility from Beliefs; Learning II

MIT 14.13 Psychology and Economics, Spring 2020 Instructor: Prof. Frank Schilbach View the complete course: https://ocw.mit.edu/14-13S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63Z979ri_UXXk_1zrvrF77Q In this video, the professor continues the discussion of why

From playlist MIT 14.13 Psychology and Economics, Spring 2020

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Covariance (3 of 17) Population vs Sample Variance

Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the difference and calculate the variance of a population and the variance of a sample of a population. Next video in

From playlist COVARIANCE AND VARIANCE

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Statistics Lecture 3.4: Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation

https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.4: Finding the Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation

From playlist Statistics (Full Length Videos)

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Mean, Median, and Mode

This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/

From playlist Statistics: Describing Data

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Intrusion Detection and Response - The Game Between Attacker and Defender

Originally aired on September 3, 2014. In this webcast, Michael Collins will give you an amazing piece of technology: a real-time intrusion detection system which, if you're monitoring a /16 or larger, has a 100% true positive rate. Are you ready? You will be scanned on ports 22, 25, 80,

From playlist O'Reilly Webcasts 3

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This is How Easy It Is to Lie With Statistics

STEMerch Store: https://stemerch.com/ Support the Channel: https://www.patreon.com/zachstar PayPal(one time donation): https://www.paypal.me/ZachStarYT ►Other videos you may enjoy Why we're misinformed about the world: https://youtu.be/ioxWuCd-mn0 When numbers don't tell the full story:

From playlist Applied Math

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LMS Popular Lecture Series 2013, Mathematics in the Courtroom

Mathematics in the Courtroom by Professor Ray Hill Held at the Institute of Education in London

From playlist LMS Popular Lectures 2007 - present

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Multiverse - What do scientists think?

Scientific arguments regarding a multiverse. My Patreon page is at https://www.patreon.com/EugeneK 00:00 Multiverse Introduction 01:32 Galaxies 03:00 Cosmic Inflation 05:39 String Theory 06:42 Bubble Universes 08:20 Fine Tunned Universe 10:32 Arguments against fine tuning 13:50 Inverse G

From playlist Physics

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The "Hot Hand" IS Real - Classic Fallacy Debunked

Probability and statistics rarely get this kind of attention. But this story is special. It’s about debunking a long-held statistics result that itself was about debunking sports lore. A 1985 study found that basketball players do not have a "hot hand." That is, players don't go on hot st

From playlist Statistics And Probability

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Lec 24 | MIT 6.00SC Introduction to Computer Science and Programming, Spring 2011

Lecture 24: Avoiding Statistical Fallacies Instructor: John Guttag View the complete course: http://ocw.mit.edu/6-00SCS11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 6.00SC Introduction to Computer Science and Programming

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Introducing Bayes, Rasmus Bååth - Bayes@Lund 2018

Find more info about Bayes@Lund, including slides, here: https://bayesat.github.io/lund2018/bayes_at_lund_2018.html

From playlist Bayes@Lund 2018

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How To Find The Z Score, Confidence Interval, and Margin of Error for a Population Mean

This statistics video tutorial explains how to find the z-score that will be used to find the confidence interval and margin of error for a population mean. This video contains 2 example problems in which you're asked to find a 90% and 95% confidence interval given the population standard

From playlist Statistics

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Lone Star Ruby Conference 2011 - Misunderstanding by Glenn Vanderburg

As programmers, we're familiar with complex logic and decisions: complex boolean expressions, long if/else cascades, and convoluted cases. But we quickly learn to avoid them as much as possible, finding ways to simplify. That's because even though computers can handle that complex stuff, w

From playlist Lone Star Ruby Conference 2011

Related pages

Data dredging | Bayes' theorem | Intuitive statistics | Law of total probability | Base rate | Expected value | Posterior probability | Prior probability | Prevalence | Prevention paradox | Prosecutor's fallacy | Representativeness heuristic | Simpson's paradox | Reference class problem | Sensitivity and specificity | Bayesian probability | Data mining