Inverse Standard Normal Distribution

• 2.05

• -0.84

• -2.05

• 0.84

Tags

CCSS.HSS.ID.A.4

• -0.13

• -0.25

• 0.25

• 0.13

A batch of thermometers have readings that are normally distributed with a mean of 0 degrees Celsius, and a standard deviation of 1 degree Celsius. If 12% of thermometers are rejected because their readings are too high, find the cut-off temperature.

• -0.77

• 0.77

• -1.17

• 1.17

Tags

CCSS.HSS.ID.A.4

A batch of thermometers have readings that are normally distributed with a mean of 0 degrees Celsius, and a standard deviation of 1 degree Celsius. Find the temperature that separates the bottom 30% from the top 70%.

• -0.52

• 0.52

• 1.52

• -1.52

Tags

CCSS.HSS.ID.A.4

• -2.33

• 2.32

• 2.33

• -2.32

Tags

CCSS.HSS.ID.A.4

A batch of thermometers have readings that are normally distributed with a mean of 0 degrees Celsius, and a standard deviation of 1 degree Celsius. Find the temperature that separates the top 10% from the bottom 90%.

• -1.29

• 1.28

• 1.29

• -1.28

Tags

CCSS.HSS.ID.A.4

A batch of thermometers have readings that are normally distributed with a mean of 0 degrees Celsius, and a standard deviation of 1 degree Celsius. If the top 6% of thermometers are rejected because they have readings that are too high, and the bottom 6% of thermometers are rejected because they have readings that are too low, what are the cut-off scores?

• 1.64 & -1.64

• 1.33 & -1.33

• 0.25 & -0.25

• 1.55 & -1.55

Tags

CCSS.HSS.ID.A.4

• 0

• -0.25

• 0.25

• -0.001

Tags

CCSS.HSS.ID.A.4

• 0.20

• -0.20

• 58

• -58

Tags

CCSS.HSF-LE.A.1C

• -1.17

• -1.18

• 1.17

• 1.18

Tags

CCSS.HSS.ID.A.4