Duration of hospitalization. Table contains data from an investigation that studied antibiotic use in hospitals.
Table Twenty-five observations derived from hospital discharge summaries.
ID | DUR | AGE | SEX | TEMP | WBC | AB | CULT | SERV |
1 | 5 | 30 | 2 | 99.0 | 8 | 2 | 2 | 1 |
2 | 10 | 73 | 2 | 98.0 | 5 | 2 | 1 | 1 |
3 | 6 | 40 | 2 | 99.0 | 12 | 2 | 2 | 2 |
4 | 11 | 47 | 2 | 98.2 | 4 | 2 | 2 | 2 |
5 | 5 | 25 | 2 | 98.5 | 11 | 2 | 2 | 2 |
6 | 14 | 82 | 1 | 96.8 | 6 | 1 | 2 | 2 |
7 | 30 | 60 | 1 | 99.5 | 8 | 1 | 1 | 1 |
8 | 11 | 56 | 2 | 98.6 | 7 | 2 | 2 | 1 |
9 | 17 | 43 | 2 | 98.0 | 7 | 2 | 2 | 1 |
10 | 3 | 50 | 1 | 98.0 | 12 | 2 | 1 | 2 |
11 | 9 | 59 | 2 | 97.6 | 7 | 2 | 1 | 1 |
12 | 3 | 4 | 1 | 97.8 | 3 | 2 | 2 | 2 |
13 | 8 | 22 | 2 | 99.5 | 11 | 1 | 2 | 2 |
14 | 8 | 33 | 2 | 98.4 | 14 | 1 | 1 | 2 |
15 | 5 | 20 | 2 | 98.4 | 11 | 2 | 1 | 2 |
16 | 5 | 32 | 1 | 99.0 | 9 | 2 | 2 | 2 |
17 | 7 | 36 | 1 | 99.2 | 6 | 1 | 2 | 2 |
18 | 4 | 69 | 1 | 98.0 | 6 | 2 | 2 | 2 |
19 | 3 | 47 | 1 | 97.0 | 5 | 1 | 2 | 1 |
20 | 7 | 22 | 1 | 98.2 | 6 | 2 | 2 | 2 |
21 | 9 | 11 | 1 | 98.2 | 10 | 2 | 2 | 2 |
22 | 11 | 19 | 1 | 98.6 | 14 | 1 | 2 | 2 |
23 | 11 | 67 | 2 | 97.6 | 4 | 2 | 2 | 1 |
24 | 9 | 43 | 2 | 98.6 | 5 | 2 | 2 | 2 |
25 | 4 | 41 | 2 | 98.0 | 5 | 2 | 2 | 1 |
Here’s a codebook for the data:
Variable Description
DUR | Duration of hospitalization (days) |
AGE | Age (years) |
SEX | 1 = male, 2 = female |
TEMP | Body temperature (degrees Fahrenheit) |
WBC | White blood cells per 100 ml |
AB | Antibiotic use: 1 = yes, 2 = no |
CULT | Blood culture taken: 1 = yes, 2 = no |
SERV | Service: 1 = medical, 2 =surgical |
(a) Classify each variable as quantitative, ordinal, or categorical.
(b) What is the value of the dur variable for observation 4?
(c) What is the value of the age variable for observation 24?
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