Discrete and Continuous Random Variable

Find the probability that x falls in the shaded area. (give your answer to 1 decimal place)

Tags

CCSS.7.SP.C.7B

Find the probability that x falls in the shaded area. (give your answer to 2 decimal places)

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

• 1.8

• 3.6

• 3

• 1.5

Tags

CCSS.HSS.MD.A.2

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

The weight of written reports produced in a certain department has a Normal distribution with mean 60 g and standard deviation 12 g. The probability that the next report will weigh less than 45 g is

• .1056
• .3944
• .1042
• .8944

Tags

CCSS.HSS.ID.A.4

The weight of written reports produced in a certain department has a Normal distribution with mean 60 g and standard deviation 12 g. The probability that the next report will weigh less than 45 g is

• .1056
• .3944
• .1042
• .8944

Tags

CCSS.HSS.ID.A.4

Is this a probability distribution?

• No
• Yes

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

Is this a probability distribution?

• No
• Yes

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

The probability of each value of the random variable must be between or equal to ________?

• 0
• 1
• 0 and 1
• none of the above

Tags

CCSS.7.SP.C.7B

What is the difference between a discrete random variable and a continuous random variable?

• A discrete random variable takes all values in an interval of numbers while a continuous random variable has a fixed set of possible values with gaps between.
• A discrete random variable has a fixed set of possible values with gaps between while a continuous random variable takes all values in an interval of numbers.
• A discrete random variable takes only negative numbers while a continuous random variable takes both positive and negative numbers.
• A discrete random variable takes both positive and negative numbers while a continuous random takes only negative numbers.