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15:05 IDS - Week 10 - 06 - Bootstrapping IDS - Week 10 - 06 - Bootstrapping	IDS - Week 10 - 06 - Bootstrapping Bootstrapping to create a confidence interval for the mean with tidymodels rstats data science sample interval confidence population flats samples bootstrap rent level bedroom intervals statement parameter end values means distribution edinburgh accuracy interpretation From Mine Cetinkaya-Rundel on November 25th, 2020 0 likes 5 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
28:50 IDS - Week 10 - 05 - Quantifying uncertainty IDS - Week 10 - 05 - Quantifying uncertainty	IDS - Week 10 - 05 - Quantifying uncertainty Constructing a bootstrap confidence interval for the slope data science rstats sample slope population samples students bootstrap confidence points bit range estimate parameter model times gift income interval statistic values aid From Mine Cetinkaya-Rundel on November 25th, 2020 0 likes 6 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
20:28 Lecture 15 - Problem Table Lecture 15 - Problem Table	Lecture 15 - Problem Table Lecture 15 - Problem Table heat temperature streams problem stream table utility kilowatt cascade minimum delta curves interval lecture source flow approach pinch transfer mixture From Mennatallah Mohamed Awny Ali Labib on October 18th, 2020 0 likes 58 plays 0 Course Code CHEEE1005 - CHEDSE4 Licence Type All rights reserved The University of Edinburgh Language English
20:43 Lecture 14 - Composite Curves Lecture 14 - Composite Curves	Lecture 14 - Composite Curves Lecture 14 - Composite Curves heat temperature curve minimum stream streams exchanger delta point network interval cost pinch energy utility curves kelvin times side transfer From Mennatallah Mohamed Awny Ali Labib on October 11th, 2020 0 likes 65 plays 0 Course Code CHEEE1005 - CHEDSE4 Licence Type All rights reserved The University of Edinburgh Language English
13:31 RMS2 (20-21): 2.4 RMS2 (20-21): 2.4	RMS2 (20-21): 2.4 Research Methods & Statistics 2 (20-21), Week 2 Lecture 4 coefficients error model predictor predictors confidence standard evaluation coefficient estimate regression linear calculation correlation term beta errors square interval interaction From Josiah King on September 20th, 2020 0 likes 396 plays 0 Licence Type All rights reserved The University of Edinburgh
13:47 dapR2 (20-21): 7.3 dapR2 (20-21): 7.3	dapR2 (20-21): 7.3 coefficients error model predictor predictors confidence standard evaluation coefficient estimate regression linear calculation correlation term beta errors square interval interaction From Thomas Booth on September 19th, 2020 0 likes 255 plays 0
19:40 USMR lecture 1 part 2 USMR lecture 1 part 2	USMR lecture 1 part 2 week 1, part 2: Some R basics usmr psychology ppls statistics rstats hair temperature degrees body celsius dataframe vector point column function strings temperatures temp things factor character bit string characters interval From Martin Corley on September 11th, 2020 1 likes 187 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created September 11th, 2020
16:03 dapR2 (20-21) 1.1 dapR2 (20-21) 1.1	dapR2 (20-21) 1.1 Data Analysis in Psychology in R 2, 2020/21.Week 1Lecture 1 measurement things difference questions question values bit week chocolate level lots levels interval scale variables sense ratio numbers responses process From Thomas Booth on September 11th, 2020 0 likes 383 plays 0 Licence Type All rights reserved The University of Edinburgh
10:20 Topic 26: Introduction to Random Vectors (PETARS,… Topic 26: Introduction to Random Vectors (PETARS, Chapter 5)	Topic 26: Introduction to Random Vectors (PETARS, Chapter 5) A short introduction to random vectors, why multiple random variables occur as a group, and some example applications of random vectors. A graphical representation of a random vector which builds… pgee11164 vector probability variables function coin distribution vectors experiment event aircraft density outcomes element variable outcome lecture interval notation n. space From James Hopgood on September 9th, 2020 0 likes 90 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 9th, 2020
12:25 Topic 21: Probability Transformation Rule and… Topic 21: Probability Transformation Rule and Its Applications (PETARS, Chapter 4)	Topic 21: Probability Transformation Rule and Its Applications (PETARS, Chapter 4) This video introduces the probability transformation rule, for finding the probability density function of the mapping of another random variable. A derivation of the transformation rule is… pgee11164 output probability input pdf interval intervals x. function density gradient distribution transformation minus y. variable expression delta infinity log roots From James Hopgood on September 5th, 2020 0 likes 95 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 5th, 2020
16:12 Topic 18: Introduction to Random Variables and… Topic 18: Introduction to Random Variables and Cummulative Distribution Functions (PETARS, Chapter 4)	Topic 18: Introduction to Random Variables and Cummulative Distribution Functions (PETARS, Chapter 4) This video introduces and defines scalar real random variables, covering the sample/state space, probability of outcomes, and mapping to the real axis. Some simple examples are presented. The video… pgee11164 probability function outcome distribution outcomes variable interval values infinity experiment variables signals hand event temperature space functions events zeta lecture From James Hopgood on September 5th, 2020 0 likes 109 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 5th, 2020
22:42 Professional Skills for GAFS (1) - Week 2 - … Professional Skills for GAFS (1) - Week 2 - Introduction to Data	Professional Skills for GAFS (1) - Week 2 - Introduction to Data Professional Skills for Global Agri-Food Scientists 1. This lecture covers our introduction to different data types. You should come to the discussion boards on the Professional Skills Learn course… data science data analysis variables interval category variable categories bit variation numbers ratio difference things analysis lecture thing skirts response point legs gender lot From Jill MacKay on September 1st, 2020 0 likes 20 plays 0 Publisher R(D)SVS Licence Type Creative Commons - Attribution Language English Date Created September 1st, 2020
09:16 4.4-part2: Exponential distribution: relation to… 4.4-part2: Exponential distribution: relation to Poisson distribution	4.4-part2: Exponential distribution: relation to Poisson distribution . ... distribution events poisson alpha minus probability interval event t. parameter lambda relation fact place process comma complement proposition expression mu From Vesselin Velichkov on July 20th, 2020 0 likes 21 plays 0 Licence Type All rights reserved The University of Edinburgh
12:21 4.1-part3: Probability density function… 4.1-part3: Probability density function (exercises)	4.1-part3: Probability density function (exercises) . ... probability mu distribution diameter function interval dx minus a. exercise b. substitution graph definition millimeter millimeters pdf variables segment probabilities From Vesselin Velichkov on July 20th, 2020 0 likes 34 plays 0 Licence Type All rights reserved The University of Edinburgh
10:59 4.1-part2: Probability density function… 4.1-part2: Probability density function (exercises)	4.1-part2: Probability density function (exercises) . ... probability function interval dx times minus problem density lecture graph variable term rules pdf point segment cubed moods trick fact From Vesselin Velichkov on July 20th, 2020 0 likes 50 plays 0 Licence Type All rights reserved The University of Edinburgh
12:25 3.6-part2: Applications of the Poisson… 3.6-part2: Applications of the Poisson distribution	3.6-part2: Applications of the Poisson distribution . ... delta interval poisson probability events distribution t. assumption alpha parameter process event calls occurrence expression ratio fact times assumptions proposition From Vesselin Velichkov on July 20th, 2020 0 likes 46 plays 0 Licence Type All rights reserved The University of Edinburgh

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