Expectation and variance

• Discrete
• Continuous

Tags

CCSS.HSF-LE.A.1B

• 0
• 0.1
• 0.5
• 0.05

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CCSS.HSS.MD.A.1

CCSS.HSS.MD.A.3

• Yes, because all of the probabilities are between 0 and 1 inclusive and the sum of all the probabilities is 1.
• No, all probabilities are not be between 0 and 1 inclusive
• No, the sum of all the probabilities is not 1.
• Yes, because the distribution is symmetric

Tags

CCSS.HSS.MD.A.1

• Yes, because all of the probabilities are between 0 and 1 inclusive and the sum of all the probabilities is 1.
• No, all probabilities are not be between 0 and 1 inclusive
• No, the sum of all the probabilities is not 1.
• Yes, because the distribution is symmetric

Tags

CCSS.HSS.MD.A.1

CCSS.HSS.MD.A.3

• Yes, because all of the probabilities are between 0 and 1 inclusive and the sum of all the probabilities is 1.
• No, all probabilities are not be between 0 and 1 inclusive
• No, the sum of all the probabilities is not 1.
• Yes, because the distribution is symmetric

Tags

CCSS.HSS.MD.A.1

CCSS.HSS.MD.A.3

One property of the probability distribution states that the sum of the probabilities of all random variable must be equal to ___.

• 0

• 1

• 10

• 100

What is the variance of the distribution?

• 8.04

• 8.40

• 9.50

• 9.05

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CCSS.HSS.MD.A.1

CCSS.HSS.MD.A.3

CCSS.HSS.ID.A.4

CCSS.HSS.ID.A.3

What is the mean of the probability distribution?

• 4.13

• 5.18

• 5.54

• 6.08

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CCSS.HSS.MD.A.2

CCSS.HSS.MD.A.3

Determine the standard deviation of the distribution.

• 2.84

• 3.08

• 3.21

• 3.80

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CCSS.HSS.ID.A.4

CCSS.HSS.ID.A.3

The expectation of a random variable X (continuous or discrete) is given by

• $\sum_{ }^{ }xf(x),\ \int\ xf(x)$

• $∑x^2f(x),\ ∫x^2f(x)$

• $∑f(x),\ ∫f(x)$

• $∑xf(x^2),\ ∫xf(x^2)$

Tags

CCSS.HSS.MD.A.2