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

Tags

CCSS.HSS.ID.A.4

CCSS.HSS.ID.A.3

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

Tags

CCSS.HSS.MD.A.2

CCSS.HSS.MD.A.3

Compute the variance

Tags

CCSS.HSS.ID.A.4

CCSS.HSS.ID.A.2

Compute the standard deviation

Tags

CCSS.HSS.ID.A.4

CCSS.HSS.ID.A.2

Compute the standard deviation

Tags

CCSS.HSS.ID.A.4

CCSS.HSS.ID.A.2

CCSS.HSS.ID.A.3