Mean, Variance, and Standard Deviation-Discrete Random Variable

The mean μ of a discrete random variable is the _________ or average of its corresponding probability mass function.

• Central Value

• First Value

• Last Value

• Second Value

Tags

CCSS.HSS.MD.A.2

CCSS.HSS.MD.A.3

CCSS.HSS.MD.B.5

It is described as how scattered or spread out the scores are from the mean value of the random variable.

• Mean

• Standard Deviation

• Variance

• Average

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CCSS.HSS.ID.A.3

CCSS.HSS.ID.A.4

It is described as how scattered or spread out the scores from the other.

• Mean

• Standard Deviation

• Variance

• Average

Tags

CCSS.HSS.ID.A.3

It can be obtained by simply getting the square root of the variance.

• Mean

• Standard Deviation

• Variance

• Average

Find the mean of the probability distribution

Tags

CCSS.HSS.MD.A.2

CCSS.HSS.MD.A.3

CCSS.HSS.MD.B.5

Find the mean of the probability distribution

Tags

CCSS.HSS.MD.A.2

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

Find the mean of the probability distribution

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CCSS.HSS.MD.A.2

CCSS.HSS.MD.A.3

Compute the variance

Tags

CCSS.HSS.ID.A.2

CCSS.HSS.ID.A.4

Compute the standard deviation

Tags

CCSS.HSS.ID.A.2

CCSS.HSS.ID.A.4

Compute the standard deviation

Tags

CCSS.HSS.ID.A.2

CCSS.HSS.ID.A.3

CCSS.HSS.ID.A.4