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Part D
Licence Type
All rights reserved The University of Edinburgh
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Part B
Licence Type
All rights reserved The University of Edinburgh
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We work through how to apply large-sample theory to A/B testing.
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 28th, 2021
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We look at how to obtain more precise and estimates in A/B testing - and how to avoid some pitfalls.
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 28th, 2021
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Data storyboarding: confidence intervals By Glenna Nightingale and Jacqueline Aim. Copyright © University of Edinburgh 2020 CC BY-NC-SA This work is licensed under a Creative Commons…
Licence Type
Creative Commons - Attribution Non Commercial Share A Like
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We'll look at means from small samples, where the normal approximation of the sampling distribution of the mean breaks down.
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial No Derivatives Language
English Date Created
January 15th, 2021
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We'll consider two aspects of the interpretation of confidence intervals
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 15th, 2021
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We introduce the bootstrap method of estimating confidence intervals
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 15th, 2021
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We'll derive confidence intervals for the mean of large samples, when we can assume the sampling distribution of the mean is normal.
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 15th, 2021
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We give a formal definition of confidence intervals, and show how the random interval can be converted to a random variable
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 15th, 2021
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Here we introduce the principle of confidence intervals graphically.
Course Code
INFR08030 Publisher
David Sterratt Licence Type
Creative Commons - Attribution Non Commercial Language
English Date Created
January 14th, 2021
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An automated programme has been used to generate the subtitles on this talk.
Course Code
ICMS Publisher
ICMS Licence Type
All rights reserved Language
English Date Created
December 14th, 2020
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Fiona Torzewska (Univeristy of Leeds) : Mapping class groupoids and motion groupoidsA topological phase of matter is a physical system whose behaviour may be effectively described via a topological…
Licence Type
All rights reserved Language
English Date Created
December 2nd, 2020
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Bootstrapping to create a confidence interval for the mean with tidymodels
Course Code
MATH08077 Licence Type
Creative Commons - Attribution Non Commercial Share A Like
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Constructing a bootstrap confidence interval for the slope
Course Code
MATH08077 Licence Type
Creative Commons - Attribution Non Commercial Share A Like
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Automated subtitles will appear on this video. Click "cc" to turn subtitles off.
Publisher
Liam Holligan Licence Type
All rights reserved Language
English Date Created
November 4th, 2020
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