Statistical tests | Statistical outliers | Robust statistics
In statistics, Dixon's Q test, or simply the Q test, is used for identification and rejection of outliers. This assumes normal distribution and per Robert Dean and Wilfrid Dixon, and others, this test should be used sparingly and never more than once in a data set. To apply a Q test for bad data, arrange the data in order of increasing values and calculate Q as defined: Where gap is the absolute difference between the outlier in question and the closest number to it. If Q > Qtable, where Qtable is a reference value corresponding to the sample size and confidence level, then reject the questionable point. Note that only one point may be rejected from a data set using a Q test. (Wikipedia).
From playlist Open Q&A
Confused about what a z-score is and how it relates to a bell curve? This short video explains in plain English what a z score is and what it's used for. Check out my Statistics Handbook: https://www.statisticshowto.com/the-practically-cheating-statistics-handbook/ Thanks for your support!
From playlist z-test
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Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Find x given the z-score, sample mean, and sample standard deviation
From playlist Statistics
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From playlist Parametric Hypothesis Tests, Part 1
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From playlist Statistics (Full Length Videos)
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Vic Reiner, Lecture II - 11 February 2015
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From playlist Algebraic topology, geometric and combinatorial group theory - 2015
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From playlist Symbolic-Numeric Computing Seminar
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From playlist Calculus, Sect 11.4, Direct & Limit Comparison Test
Jean-Marc Deshouillers: On the local distribution of the product of two shifted primes and ...
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CTNT 2018 - "The Biggest Known Prime Number" by Keith Conrad
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From playlist CTNT 2018 - Guest Lectures
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Nonlinear algebra, Lecture 1: "Polynomials, Ideals, and Groebner Bases", by Bernd Sturmfels
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From playlist Hypothesis Tests AS Level Maths Statistics Exam Questions
How private schools are serving the poorest: Pauline Dixon at TEDxGlasgow
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