Where do the young live? Here is a stemplot of the percent of residents aged 25 to 34 in each of the 50 states:

Part (a). Why did we split stems?

Part (b). Give an appropriate ate key for this stemplot.

Part (c). Describe the shape of the distribution. Are there any outliers?

Short Answer

Expert verified

Part (a) we were able to determine the general shape of the distribution.

Part (b) Key: 160represents a state that has 16.0% residents aged 25 to 34

Part (c)

Roughly symmetric

16.0% is a possible outlier.

Step by step solution

01

Part (a) Step 1. Given information. 

StemLeaf
1144
1166778
120134
12666778888
130000001111444
137788999
140044
14567
1511
15
160
02

Part (a) Step 2. Did we split stem 

StemLeaf
1144
1166778
120134
12666778888
130000001111444
137788999
140044
14567
1511
15
160

Key: 114means 11.4%

If we had not split the stems, all data values would have been placed on only six stems (11, 12, 13, 14, 15, 16), making it difficult to determine the general shape of the distribution.

As a result, we divided the stems in order to determine the general shape of the distribution.

03

Part (b) Step 1. Give an appropriate ate key for this stemplot.  

The data values represent the percentage of residents aged 25 to 34 in each of the 50 states, according to what we've been told.

Let us use the key with the largest data value, which is given at the bottom of the stemplot and is thus 1610. Because the percentage must be between 0% and 100%, this most likely means that the corresponding state has 16.0 percent residents aged 25 to 34. (and as 1.60 percent is probability to small a percentage).

The following is a possible key:

Key: The state of 160has 16.0 percent of its residents aged 25 to 34.

04

Part (c) Step 1. The shape of the distribution Are there any outliers 

Because most of the data values appear to lie roughly in the middle of the stemplot, the distribution has a roughly symmetric shape.

There is a gap in the stemplot between 1610 (which represents 16.0 percent) and the other data values in the stemplot, implying that 16.0 percent could be an outlier.

As a results:

Roughly symmetric

16.0% is a possible outlier.

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