• 

There is a bump at 4.

• 

The data are really bunched together.

• 

There is a cluster at 3 and 4.

• 

There's a big gap from 6 to 11.

• 

The data are not very spread out.

• 

The bump at 4 is the size of families that occurred most often for our class.

• 

Because the data are all bunched together, we know that families in our class are very similar in size.

• 

The cluster at 3 and 4 indicates that most families in our class have three or four people.

• 

The gap from 6 to 11 tells us that no families in our class have six, seven, eight, nine, 10, or 11 children.

• 

The lack of "spread" in our data tells us that our class's families are similar in size.

• 

A response based on the mode might be to make the prices of all nine bags exactly $1.38. Another response based on the mode is to price four bags at $1.38 and the others at $1.30, $1.32, $1.36, $1.37, and $1.50. The reasoning is to place more bags at $1.38 than at any other price.

• 

A response that is based on the median is to make three bags cost $1.38 and the others cost $1.30, $1.30, $1.35, $1.40, $1.47, and $1.49. The reasoning is to put some bags at $1.38 and then to place an equal number of bags at prices lower and higher than $1.38. Here, three bags cost more than $1.38 and three bags cost less than $1.38.

• 

A response that is based on the mean is to make the bags cost $1.38, $1.37, $1.39, $1.36, $1.40, $1.35, $1.41, $1.34, and $1.42. Since there's an odd number of bags, the reasoning is to place one bag at $1.38 and then add and subtract the same amount to create new prices. Here, 1 cent was subtracted from $1.38 to get $1.37, then 1 cent was added to $1.38 to get $1.39, and so on.

a. 

Median

b. 

Mode

c. 

Mean

d. 

Mode or median

e. 

Mean