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Bivariate relationship linearity, strength and direction
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Describe a bivariate relationship's linearity, strength, and direction. In other words, plotting things that take two variables into consideration and trying to see whether there's a pattern with how they relate.

Subject:
Statistics and Probability
Material Type:
Lesson
Provider:
Khan Academy
Author:
Salman Khan
Date Added:
02/28/2018
Central limit theorem
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This video talka about what is easily one of the most fundamental and profound concepts in statistics and maybe in all of mathematics. And that's the central limit theorem.

Subject:
Statistics and Probability
Material Type:
Lesson
Provider:
Khan Academy
Author:
Salman Khan
Date Added:
02/28/2018
Correlation and causality
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Understanding why correlation does not imply causality (even though many in the press and some researchers often imply otherwise).

Subject:
Statistics and Probability
Material Type:
Lesson
Provider:
Khan Academy
Author:
Salman Khan
Date Added:
02/28/2018
Demographic structure of society - age
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Sociology often looks at different age cohorts. A cohort is simply a group of people, but here we're looking specifically at different age groups or generations, because these people all lived through the same certain events through a certain time that affected their lives similarly.

Subject:
Sociology
Material Type:
Lesson
Provider:
Khan Academy
Author:
Sydney Brown
Date Added:
02/28/2018
Environmental Justice
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Where we live in society plays a huge role in the environmental benefits and risks that we're exposed to.

Subject:
Sociology
Material Type:
Lesson
Provider:
Khan Academy
Author:
Arshya Vahabzadeh
Date Added:
02/28/2018
Existence theorems intro
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Overview of the Intermediate Value Theorem, the Extreme Value Theorem and the Mean Value Theorem.

Subject:
Algebra
Material Type:
Lesson
Provider:
Khan Academy
Provider Set:
Khan Academy
Author:
Salman Khan
Date Added:
02/28/2018
Linear Algebra: Another Example of a Projection Matrix
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This 22-minute video lesson shows another example of a projection matrix. It shows how to figure out the transformation matrix for a projection onto a subspace by figuring out the matrix for the projection onto the subspace's orthogonal complement first.

Subject:
Algebra
Material Type:
Lecture
Provider:
Khan Academy
Provider Set:
Khan Academy
Author:
Khan, Salman
Date Added:
02/20/2011