File Name
|
Data File Description
|
| acrylic.dat |
A random sample of sheets of acrylic material were selected in a quality
assurance program and measured for thickness. The results (in mm)
are listed in several columns. |
| age.dat |
A childcare worker interested in an age profile of unmarried mothers
in her province determined the age NEAREST BIRTHDAY at the time of giving
birth of the 88 unmarried mothers who gave birth within the study time
period. The ages are listed in several columns. |
| battery.dat |
An analysis of field equipment battery lifetimes under one set of environmental
conditions involved an assessment of the usable lifetimes of six sample
batteries of each of four battery types - coded A, B1, B2, B3 (actually
two types with three sub-types of the second.) The resulting lifetimes
are listed in four columns -- one column for each of A, B1, B2, B3, in
that order. |
| benefits.dat |
An analysis of quality of employee benefits packages involved an assessment of the packages for 240 sample employee groups classified into four types coded A, B, C, and D. The packages were assessed for quality and classified as Minimal, Adequate or Excellent. The resulting data are in 240 rows, one row per group, and in two columns, one column for type and one for quality. |
| capsule.dat |
An arthritis pain medication is prepared in capsules which should each
contain 500 mg of the main ingredient, a form of glucosamine. Natural
variation leads to some variation from the 500, but values are expected
to be within 0.5% of 500. Amounts of glucosamine were recorded for
sample capsules from the production runs over four different weeks.
The data are listed in four columns, one column for each of weeks 1, 2,
3, 4. |
| capsule1.dat |
This data set has one column with the data from week 1 of the data
in capsule.dat above. |
| capsule2.dat |
This data set has one column with the data from week 2 of the data
in capsule.dat above. |
| capsule3.dat |
This data set has one column with the data from week 3 of the data
in capsule.dat above. |
| capsule4.dat |
This data set has one column with the data from week 4 of the data
in capsule.dat above. |
| care.dat |
In a labour force survey on the possible effects of child caring on
the employment status of women, part of the survey included 370 women aged
18 to 65. The women were classified according to child caring and
employment status. The data file includes 370 rows, one row for each
woman, and two columns. For each woman, the entry in the first column
is the child caring classification: U5 for caring for a child or children
under 5, U16N5 for caring for a child or children under 16 but not under
5, and N16 for not caring for a child or children under 16. The entry
in the second column is the employment status: EMPLOY for employed or seeking
employment and NOT for neither employed nor seeking employment. |
| classify.dat |
Because it is expensive and difficult to determine perfectly which
subjects should be excluded from a project, different affordable screening
methods were tested for accuracy. 400 subjects KNOWN TO BE UNSUITABLE
were assigned randomly to the four procedures (labelled A, B, C, D) each
of which would produce an incorrect classification 'suitable,' a non informative
classification 'unclear' or a correct classification 'unsuitable.'
The data are listed in two columns of 400 rows, one row per subject. The
first column lists the procedure, the second the resulting classification. |
| coffee.dat |
This data file is used to develop a prediction model for coffee consumption
in office complexes with on-sight coffee sales. Sales for sample
days were recorded for several complexes. The data file has one row
for each complex/day. The data file has four columns: The first column
gives the average number of people in the building (a methodology was developed
to determine this 'average.') The second column gives the hours of
operation, the third the price per cup of coffee and the fourth the number
of cups sold. |
| energy.dat |
The data relate to energy consumption in a building for fourteen months
requiring heating. The file has one row for each month. Each
row has three columns producing, respectively, the number of heating degree
days (number of days multiplied by the difference in Fahrenheit degrees
between 70 and the outside temperature,) the average wind speed in miles
per hour, and the energy consumption in megawatt hours. |
| expense.dat |
The data include one part of the results of a random audit sample of
n = 90 travel expense accounts from a full collection of N = 1583 such
accounts. The file includes the average cost per day for meals for
each sample account. The data are listed in several columns. |
| glass.dat |
These data, in several columns, record the weights in grams of wine,
spirits and beer glass in 88 sample 'blue boxes' collected in a recycling
program. |
| house.dat |
A poll was conducted to determine reaction to a proposal to change
zoning of a parcel of land near a school and playground from low density
to high density plus retail. Respondents were selected at random
in a nearby mall and were classified according to a map as living in the
same area as the land in question, in an adjacent area or in some other
area. Each respondent was coaxed into giving a response to the proposal,
expressing strong support, mild support, mild opposition or strong opposition.
The data are in two columns with a row for each respondent. The first
column gives the area SAME, ADJACENT or OTHER and the second gives the
degree of support as STR_SUP, MILD_SUP, MILD_OPP, or STR_OPP. |
| pcb.dat |
The data, in several columns, are the measurements in microgram per
gram of wet weight of polychlorinated biphenyls in four dozen samples of
marine tissue for one species of shellfish taken after ten days of exposure
at 15° Celsius to a set PCB level in water. |
| phone.dat |
The data, in several columns, represent daily usage (nearest 0.1 minute)
in a sample audit of 25 cellular telephone records. |
| pthours.dat |
Part of an analysis of hours worked by members of a pool of N = 2758
part-time workers involved a random sample of the hours worked in one week
by n = 120 of the workers. Times worked can range from 3 to 35 hours
to the nearest quarter hour. The sample times are listed in several
columns from minimum to maximum. |
| smokers.dat |
In a survey on a possible relationship between education level and
smoking, subjects chosen at random were classified according to education
level and smoking status. The results are stored in two columns,
one row for each subject. The first column gives smoking status as
CURRENT, QUIT, or NEVER. The second gives education level as ELEM
for elementary school only, SECON for secondary school only, SOMEPOST for
some post secondary education or UNIV for a university degree. |
| success.dat |
Subjects were assigned at random to four conditions involving varying
degrees of stress (75 subjects for each condition,) and then assessed for
the degree of success in completing a task under the level of stress imposed.
The data are tabulated in 300 rows and two columns -- one row per subject
with the first column indicating stress level (no, low, mod [for moderate]
or high) and the second degree of success ('success' for fully successful,
'partial' for partially success and 'not' for not successful.) |
| system1.dat |
Two data systems were compared with regard to the time to extract subsets
of a data bank on the basis of various selection criteria. Times
for two dozen sample searches with system 1 are listed in several columns
in this file. (See below for system 2.) |
| system2.dat |
Two data systems were compared with regard to the time to extract subsets
of a data bank on the basis of various selection criteria. Times
for 21 sample searches (an original two dozen with 3 missing values)
with system 2 are listed in several columns in this file. (See above
for system 1.) |
| visits.dat |
These time series data list the number of visits per month to a mental
health clinic from January 1988 through December 1992, inclusive. |
| webvisit.dat |
These data, in several columns, represent the results of a three-month
sample of daily numbers of visits to a web site. |
| wire.dat |
These data, in two columns, give the diameters (in column one) and
the strengths (in column two) of ten sample sections of wire (one row per
wire sample from smallest diameter to largest.) |
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