# Connexions

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Inside Collection (Textbook):

Textbook by: Barbara Illowsky, Ph.D., Susan Dean. E-mail the authors

# Summary of Formulas

## Formula 1: Central Limit Theorem for Sample Means

X¯ X ~ N ( μ X , σ X n ) N( μ X , σ X n ) The Mean ( X¯ ) ( X ): μ X μ X

## Formula 2: Central Limit Theorem for Sample Means Z-Score and Standard Error of the Mean

z = x¯ - μ X ( σ X n ) z= x - μ X ( σ X n ) Standard Error of the Mean (Standard Deviation (X¯)( X )): σ X n σ X n

## Formula 3: Central Limit Theorem for Sums

ΣXΣX ~ N [ ( n ) μ X , n σ X ] N[(n) μ X , n σ X ] Mean for Sums ( ΣX ) (ΣX): n μ X n μ X

## Formula 4: Central Limit Theorem for Sums Z-Score and Standard Deviation for Sums

z = Σx n μ X n σ X z= Σx n μ X n σ X Standard Deviation for Sums ( ΣX ) (ΣX): n σ X n σ X

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My Favorites (?)

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#### Definition of a lens

##### Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

##### What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

##### Who can create a lens?

Any individual member, a community, or a respected organization.

##### What are tags?

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

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