-
Discrete and continuous random variables | Probability and Statistics | Khan Academy
Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/statistics-probability/random-variables-stats-library/random-variables-discrete/v/discrete-and-continuous-random-variables
Defining discrete and continuous random variables. Working through examples of both discrete and continuous random variables.
Practice this lesson yourself on KhanAcademy.org right now:
https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/e/constructing-probability-distributions?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
Watch the next lesson: https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/discrete-probability-distribution?ut...
published: 06 Dec 2012
-
Continuous Probability Distributions - Basic Introduction
This statistics video tutorial provides a basic introduction into continuous probability distributions. It discusses the normal distribution, uniform distribution, and the exponential distribution. The probability is equal to the area under the curve and the total area under the curve is equal to 1. This video gives you some formulas that you might find helpful. It also briefly discusses the difference between continuous random variables and discrete random variables.
Probability Formula Sheet:
https://bit.ly/3zb22rW
Introduction to Probability:
https://www.youtube.com/watch?v=SkidyDQuupA
Probability Formulas:
https://www.youtube.com/watch?v=bddckR734aM
Probability Explained: ...
published: 16 Sep 2019
-
Continuous Random Variables: Probability Density Functions
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
This is the first in a sequence of tutorials about continuous random variables. I explain how to use probability density functions (PDFs).
Tutorials on continuous random variables
Probability density functions (PDFs): http://www.youtube.com/watch?v=9KVR1hJ8SxI
Cumulative distribution functions (CDFs): http://www.youtube.com/watch?v=4BswLMKgXzU
Mean & Variance: http://www.youtube.com/watch?v=gPAxuMKZ-w8
Median: http://www.youtube.com/watch?v=lmXDclWMLgM
Mode: http://www.youtube.com/watch?v=AYxZYPcXctY
Past Paper Questions: http://www.youtube.com/watch?v=8NIyue7ywUA
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
Visit my channel for other maths videos: http://www.youtube.com/MrNichollTV
Subscribe t...
published: 28 Jan 2014
-
8. Continuous Random Variables
MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010
View the complete course: http://ocw.mit.edu/6-041F10
Instructor: John Tsitsiklis
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
published: 09 Nov 2012
-
Understanding Continuous Random Variables and Probability Distributions
An Evening in Continuopolis [continuous random variables
animation, probability density function]
published: 28 Feb 2020
-
Continuous Random Variables: Mean & Variance
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
This is the third in a sequence of tutorials about continuous random variables. I explain how to calculate the mean (expected value) and variance of a continuous random variable.
Tutorials on continuous random variables
Probability density functions (PDFs): http://www.youtube.com/watch?v=9KVR1hJ8SxI
Cumulative distribution functions (CDFs): http://www.youtube.com/watch?v=4BswLMKgXzU
Mean & Variance: http://www.youtube.com/watch?v=gPAxuMKZ-w8
Median: http://www.youtube.com/watch?v=lmXDclWMLgM
Mode: http://www.youtube.com/watch?v=AYxZYPcXctY
Past Paper Questions: http://www.youtube.com/watch?v=8NIyue7ywUA
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
Visit my channel for other maths videos: http://...
published: 05 Dec 2012
-
Y11-12 Mathematics: Introduction to Continuous Random Variables (Part 1)
In this video, we'll recap what continuous random variables are and take a look at their probability distribution functions. Part 2 can be found on our website.
published: 28 Oct 2019
-
Statistics Lecture 6.2: Introduction to the Normal Distribution and Continuous Random Variables
https://www.patreon.com/ProfessorLeonard
Statistics Lecture 6.2: Introduction to the Normal Distribution and Continuous Random Variables
published: 13 Dec 2011
-
An Introduction to Continuous Probability Distributions
An introduction to continuous random variables and continuous probability distributions. I briefly discuss the probability density function (pdf), the properties that all pdfs share, and the notion that for continuous random variables probabilities are areas under the curve.
published: 23 Dec 2012
-
L08.2 Probability Density Functions
MIT RES.6-012 Introduction to Probability, Spring 2018
View the complete course: https://ocw.mit.edu/RES-6-012S18
Instructor: John Tsitsiklis
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
published: 24 Apr 2018
11:56
Discrete and continuous random variables | Probability and Statistics | Khan Academy
Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/statistics-probability/random-var...
Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/statistics-probability/random-variables-stats-library/random-variables-discrete/v/discrete-and-continuous-random-variables
Defining discrete and continuous random variables. Working through examples of both discrete and continuous random variables.
Practice this lesson yourself on KhanAcademy.org right now:
https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/e/constructing-probability-distributions?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
Watch the next lesson: https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/discrete-probability-distribution?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
Missed the previous lesson?
https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/random-variables?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it!
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to KhanAcademy’s Probability and Statistics channel:
https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1
Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
https://wn.com/Discrete_And_Continuous_Random_Variables_|_Probability_And_Statistics_|_Khan_Academy
Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/statistics-probability/random-variables-stats-library/random-variables-discrete/v/discrete-and-continuous-random-variables
Defining discrete and continuous random variables. Working through examples of both discrete and continuous random variables.
Practice this lesson yourself on KhanAcademy.org right now:
https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/e/constructing-probability-distributions?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
Watch the next lesson: https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/discrete-probability-distribution?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
Missed the previous lesson?
https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/random-variables?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it!
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to KhanAcademy’s Probability and Statistics channel:
https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1
Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
- published: 06 Dec 2012
- views: 2198201
10:13
Continuous Probability Distributions - Basic Introduction
This statistics video tutorial provides a basic introduction into continuous probability distributions. It discusses the normal distribution, uniform distribut...
This statistics video tutorial provides a basic introduction into continuous probability distributions. It discusses the normal distribution, uniform distribution, and the exponential distribution. The probability is equal to the area under the curve and the total area under the curve is equal to 1. This video gives you some formulas that you might find helpful. It also briefly discusses the difference between continuous random variables and discrete random variables.
Probability Formula Sheet:
https://bit.ly/3zb22rW
Introduction to Probability:
https://www.youtube.com/watch?v=SkidyDQuupA
Probability Formulas:
https://www.youtube.com/watch?v=bddckR734aM
Probability Explained:
https://www.youtube.com/watch?v=UORztmWGY6Q
Probability With Geometry:
https://www.youtube.com/watch?v=DeH5aHWxEaI
Probability of Complementary Events:
https://www.youtube.com/watch?v=0T-CaQCiSf4
Conditional Probability:
https://www.youtube.com/watch?v=sqDVrXq_eh0
__________________________________
Independent and Dependent Events:
https://www.youtube.com/watch?v=lWAdPyvm400
Probability of Mutual Exclusive Events:
https://www.youtube.com/watch?v=X6usGgwXFyU
Multiplication and Addition Rule:
https://www.youtube.com/watch?v=94AmzeR9n2w
Compound Probability:
https://www.youtube.com/watch?v=EHU6pVSczb4
Expected Value:
https://www.youtube.com/watch?v=b6VK2VPMXNI
Probability Tree Diagrams:
https://www.youtube.com/watch?v=w4wKXVwtGac
___________________________________
Bayes Theorem:
https://www.youtube.com/watch?v=OByl4RJxnKA
Probability - Binomial Distribution:
https://www.youtube.com/watch?v=3PWKQiLK41M
Probability - Geometric Distribution:
https://www.youtube.com/watch?v=d5iAWPnrH6w
Probability - Poisson Distribution:
https://www.youtube.com/watch?v=m0o-585xwW0
Continuous Probability Distributions:
https://www.youtube.com/watch?v=QxqxdQ_g2uw
Probability Density Functions:
https://www.youtube.com/watch?v=3xAIWiTJCvE
__________________________________
Probability - Uniform Distributions:
https://www.youtube.com/watch?v=KfunVw-0AH0
Probability - Exponential Distributions:
https://www.youtube.com/watch?v=J3KSjZFVbis
Probability - Normal Distributions (Calculus):
https://www.youtube.com/watch?v=gHBL5Zau3NE
Probability - Standard Normal Distributions:
https://www.youtube.com/watch?v=CjF_yQ2N638
Probability - The Law of Large Numbers:
https://www.youtube.com/watch?v=ihTpK6dXSas
___________________________________
Final Exams and Video Playlists:
https://www.video-tutor.net/
https://wn.com/Continuous_Probability_Distributions_Basic_Introduction
This statistics video tutorial provides a basic introduction into continuous probability distributions. It discusses the normal distribution, uniform distribution, and the exponential distribution. The probability is equal to the area under the curve and the total area under the curve is equal to 1. This video gives you some formulas that you might find helpful. It also briefly discusses the difference between continuous random variables and discrete random variables.
Probability Formula Sheet:
https://bit.ly/3zb22rW
Introduction to Probability:
https://www.youtube.com/watch?v=SkidyDQuupA
Probability Formulas:
https://www.youtube.com/watch?v=bddckR734aM
Probability Explained:
https://www.youtube.com/watch?v=UORztmWGY6Q
Probability With Geometry:
https://www.youtube.com/watch?v=DeH5aHWxEaI
Probability of Complementary Events:
https://www.youtube.com/watch?v=0T-CaQCiSf4
Conditional Probability:
https://www.youtube.com/watch?v=sqDVrXq_eh0
__________________________________
Independent and Dependent Events:
https://www.youtube.com/watch?v=lWAdPyvm400
Probability of Mutual Exclusive Events:
https://www.youtube.com/watch?v=X6usGgwXFyU
Multiplication and Addition Rule:
https://www.youtube.com/watch?v=94AmzeR9n2w
Compound Probability:
https://www.youtube.com/watch?v=EHU6pVSczb4
Expected Value:
https://www.youtube.com/watch?v=b6VK2VPMXNI
Probability Tree Diagrams:
https://www.youtube.com/watch?v=w4wKXVwtGac
___________________________________
Bayes Theorem:
https://www.youtube.com/watch?v=OByl4RJxnKA
Probability - Binomial Distribution:
https://www.youtube.com/watch?v=3PWKQiLK41M
Probability - Geometric Distribution:
https://www.youtube.com/watch?v=d5iAWPnrH6w
Probability - Poisson Distribution:
https://www.youtube.com/watch?v=m0o-585xwW0
Continuous Probability Distributions:
https://www.youtube.com/watch?v=QxqxdQ_g2uw
Probability Density Functions:
https://www.youtube.com/watch?v=3xAIWiTJCvE
__________________________________
Probability - Uniform Distributions:
https://www.youtube.com/watch?v=KfunVw-0AH0
Probability - Exponential Distributions:
https://www.youtube.com/watch?v=J3KSjZFVbis
Probability - Normal Distributions (Calculus):
https://www.youtube.com/watch?v=gHBL5Zau3NE
Probability - Standard Normal Distributions:
https://www.youtube.com/watch?v=CjF_yQ2N638
Probability - The Law of Large Numbers:
https://www.youtube.com/watch?v=ihTpK6dXSas
___________________________________
Final Exams and Video Playlists:
https://www.video-tutor.net/
- published: 16 Sep 2019
- views: 546245
23:16
Continuous Random Variables: Probability Density Functions
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
This is the first in a sequence of tutorials about continuous random variables. I explain h...
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
This is the first in a sequence of tutorials about continuous random variables. I explain how to use probability density functions (PDFs).
Tutorials on continuous random variables
Probability density functions (PDFs): http://www.youtube.com/watch?v=9KVR1hJ8SxI
Cumulative distribution functions (CDFs): http://www.youtube.com/watch?v=4BswLMKgXzU
Mean & Variance: http://www.youtube.com/watch?v=gPAxuMKZ-w8
Median: http://www.youtube.com/watch?v=lmXDclWMLgM
Mode: http://www.youtube.com/watch?v=AYxZYPcXctY
Past Paper Questions: http://www.youtube.com/watch?v=8NIyue7ywUA
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
Visit my channel for other maths videos: http://www.youtube.com/MrNichollTV
Subscribe to receive new videos in your feed: http://goo.gl/7yKgj
https://wn.com/Continuous_Random_Variables_Probability_Density_Functions
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
This is the first in a sequence of tutorials about continuous random variables. I explain how to use probability density functions (PDFs).
Tutorials on continuous random variables
Probability density functions (PDFs): http://www.youtube.com/watch?v=9KVR1hJ8SxI
Cumulative distribution functions (CDFs): http://www.youtube.com/watch?v=4BswLMKgXzU
Mean & Variance: http://www.youtube.com/watch?v=gPAxuMKZ-w8
Median: http://www.youtube.com/watch?v=lmXDclWMLgM
Mode: http://www.youtube.com/watch?v=AYxZYPcXctY
Past Paper Questions: http://www.youtube.com/watch?v=8NIyue7ywUA
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
Visit my channel for other maths videos: http://www.youtube.com/MrNichollTV
Subscribe to receive new videos in your feed: http://goo.gl/7yKgj
- published: 28 Jan 2014
- views: 691573
50:29
8. Continuous Random Variables
MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010
View the complete course: http://ocw.mit.edu/6-041F10
Instructor: John Tsitsiklis
L...
MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010
View the complete course: http://ocw.mit.edu/6-041F10
Instructor: John Tsitsiklis
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
https://wn.com/8._Continuous_Random_Variables
MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010
View the complete course: http://ocw.mit.edu/6-041F10
Instructor: John Tsitsiklis
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
- published: 09 Nov 2012
- views: 159826
9:36
Understanding Continuous Random Variables and Probability Distributions
An Evening in Continuopolis [continuous random variables
animation, probability density function]
An Evening in Continuopolis [continuous random variables
animation, probability density function]
https://wn.com/Understanding_Continuous_Random_Variables_And_Probability_Distributions
An Evening in Continuopolis [continuous random variables
animation, probability density function]
- published: 28 Feb 2020
- views: 15156
14:32
Continuous Random Variables: Mean & Variance
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
This is the third in a sequence of tutorials about continuous random variables. I explain h...
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
This is the third in a sequence of tutorials about continuous random variables. I explain how to calculate the mean (expected value) and variance of a continuous random variable.
Tutorials on continuous random variables
Probability density functions (PDFs): http://www.youtube.com/watch?v=9KVR1hJ8SxI
Cumulative distribution functions (CDFs): http://www.youtube.com/watch?v=4BswLMKgXzU
Mean & Variance: http://www.youtube.com/watch?v=gPAxuMKZ-w8
Median: http://www.youtube.com/watch?v=lmXDclWMLgM
Mode: http://www.youtube.com/watch?v=AYxZYPcXctY
Past Paper Questions: http://www.youtube.com/watch?v=8NIyue7ywUA
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
Visit my channel for other maths videos: http://www.youtube.com/MrNichollTV
Subscribe to receive new videos in your feed: http://goo.gl/7yKgj
https://wn.com/Continuous_Random_Variables_Mean_Variance
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
This is the third in a sequence of tutorials about continuous random variables. I explain how to calculate the mean (expected value) and variance of a continuous random variable.
Tutorials on continuous random variables
Probability density functions (PDFs): http://www.youtube.com/watch?v=9KVR1hJ8SxI
Cumulative distribution functions (CDFs): http://www.youtube.com/watch?v=4BswLMKgXzU
Mean & Variance: http://www.youtube.com/watch?v=gPAxuMKZ-w8
Median: http://www.youtube.com/watch?v=lmXDclWMLgM
Mode: http://www.youtube.com/watch?v=AYxZYPcXctY
Past Paper Questions: http://www.youtube.com/watch?v=8NIyue7ywUA
Watch more tutorials in my Edexcel S2 playlist: http://goo.gl/gt1up
Visit my channel for other maths videos: http://www.youtube.com/MrNichollTV
Subscribe to receive new videos in your feed: http://goo.gl/7yKgj
- published: 05 Dec 2012
- views: 343176
6:58
Y11-12 Mathematics: Introduction to Continuous Random Variables (Part 1)
In this video, we'll recap what continuous random variables are and take a look at their probability distribution functions. Part 2 can be found on our website....
In this video, we'll recap what continuous random variables are and take a look at their probability distribution functions. Part 2 can be found on our website.
https://wn.com/Y11_12_Mathematics_Introduction_To_Continuous_Random_Variables_(Part_1)
In this video, we'll recap what continuous random variables are and take a look at their probability distribution functions. Part 2 can be found on our website.
- published: 28 Oct 2019
- views: 12463
2:11:14
Statistics Lecture 6.2: Introduction to the Normal Distribution and Continuous Random Variables
https://www.patreon.com/ProfessorLeonard
Statistics Lecture 6.2: Introduction to the Normal Distribution and Continuous Random Variables
https://www.patreon.com/ProfessorLeonard
Statistics Lecture 6.2: Introduction to the Normal Distribution and Continuous Random Variables
https://wn.com/Statistics_Lecture_6.2_Introduction_To_The_Normal_Distribution_And_Continuous_Random_Variables
https://www.patreon.com/ProfessorLeonard
Statistics Lecture 6.2: Introduction to the Normal Distribution and Continuous Random Variables
- published: 13 Dec 2011
- views: 243383
5:52
An Introduction to Continuous Probability Distributions
An introduction to continuous random variables and continuous probability distributions. I briefly discuss the probability density function (pdf), the properti...
An introduction to continuous random variables and continuous probability distributions. I briefly discuss the probability density function (pdf), the properties that all pdfs share, and the notion that for continuous random variables probabilities are areas under the curve.
https://wn.com/An_Introduction_To_Continuous_Probability_Distributions
An introduction to continuous random variables and continuous probability distributions. I briefly discuss the probability density function (pdf), the properties that all pdfs share, and the notion that for continuous random variables probabilities are areas under the curve.
- published: 23 Dec 2012
- views: 608107
11:09
L08.2 Probability Density Functions
MIT RES.6-012 Introduction to Probability, Spring 2018
View the complete course: https://ocw.mit.edu/RES-6-012S18
Instructor: John Tsitsiklis
License: Creati...
MIT RES.6-012 Introduction to Probability, Spring 2018
View the complete course: https://ocw.mit.edu/RES-6-012S18
Instructor: John Tsitsiklis
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
https://wn.com/L08.2_Probability_Density_Functions
MIT RES.6-012 Introduction to Probability, Spring 2018
View the complete course: https://ocw.mit.edu/RES-6-012S18
Instructor: John Tsitsiklis
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
- published: 24 Apr 2018
- views: 75338