Stats Chapter 1 Review

What is the median of the data:

5, 10, 10, 10, 10, 12, 15, 20, 20, 25, 30, 30, 40, 40, 60

• 10

• 15

• 20

• 25

Tags

CCSS.6.SP.B.5C

What is the mean of the data:

7 , 9 , 16 , 12, 10, 4

• 7

• 9.5

• 9.6667

• 10

Tags

CCSS.6.SP.B.5C

When your data is heavily skewed and you have outliers, which measure of central tendency should you use?

• median

• standard deviation

• mean

• interquartile range

Tags

CCSS.6.SP.B.5D

CCSS.HSS.ID.A.2

When your data is heavily skewed and you have outliers, which measure of variability should you use?

• median

• standard deviation

• mean

• interquartile range

Tags

CCSS.6.SP.B.5D

CCSS.HSS.ID.A.2

When your data is roughly symmetric, and there are no outliers, which measure of central tendency should you use?

• median

• standard deviation

• mean

• interquartile range

Tags

CCSS.6.SP.B.5D

CCSS.HSS.ID.A.2

When your data is roughly symmetric, and there are no outliers, which measure of variability should you use?

• median

• standard deviation

• mean

• interquartile range

Tags

CCSS.6.SP.B.5D

CCSS.HSS.ID.A.2

What is the range of the data:

5, 10, 10, 10, 10, 12, 15, 20, 20, 25, 30, 30, 40, 40, 60

• from 5 to 60

• 60

• 5

• 55

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

What is the interquartile range of the data:

5, 10, 10, 10, 10, 12, 15, 20, 20, 25, 30, 30, 40, 40, 60

• 10

• 20

• 22.667

• 30

Tags

CCSS.6.SP.B.5C

Use the 1.5 x IQR Rule to find the Upper Outlier Boundary of the data.

5, 10, 10, 10, 10, 12, 15, 20, 20, 25, 30, 30, 40, 40, 60

• 10

• 20

• 40

• 60

Use the 1.5 x IQR Rule to find the Lower Outlier Boundary of the data.

5, 10, 10, 10, 10, 12, 15, 20, 20, 25, 30, 30, 40, 40, 60

• -30

• -20

• 0

• 10