Answer:
Qualitative Versus Quantitative
A variable is a characteristic of an object. Their values may occur more than once for a set of data. We consider just two main types of variables in this course.
Quantitative Variables - Variables whose values result from counting or measuring something.
Examples: height, weight, time in the 100 yard dash, number of items sold to a shopper
Qualitative Variables - Variables that are not measurement variables. Their values do not result from measuring or counting.
Examples: hair color, religion, political party, profession
Designator - Values that are used to identify individuals in a table. Designator values usually do not repeat in a table, but variable values often do repeat.
Examples: name, rank, jersey number of a team member, cell phone number, license number.
Exercises: In the tables below identify which columns represent qualitative variables, which columns represent quantitative variables, and which columns represent designators.
1) Highest U.S. Dams
Name
Height
River
State
Completed
Oroville
754
Feather
CA
1968
Hoover
725
Colorado
NV
1936
Dworshak
718
N Fork Clearwater
ID
1873
Glen Canyon
708
Colorado
AZ
1966
New Bullards Bar
636
North Yuba
CA
1970
New Melones
626
Stanislaus
CA
1979
Swift
610
Lewis
WA
1958
Mossyrock
607
Cowlitz
WA
1968
Shasta
600
Sacramento
CA
1945
Hungry Horse
564
S Fork Flathead
MT
1953
Grand Coulee
551
Columbia
WA
1942
Ross
541
Skagit
WA
1949
Source: The World Almanac and Book of Facts 1998
2) Super Bowls
No.
Year
Winner
Winning
Score
Loser
Losing Score
Winning
Coach
Game
Site
I
1967
Packers
35
Chiefs
10
Lombardi
Los Angeles
II
1968
Packers
33
Raiders
14
Lombardi
Miami
III
1969
Jets
16
Colts
7
Ewbank
Miami
IV
1970
Chiefs
23
Vikings
7
Stram
New Orleans
V
1971
Colts
16
Cowboys
13
McCafferty
Miami
VI
1972
Cowboys
24
Dolphins
3
Landry
New Orleans
VII
1973
Dolphins
14
Redskins
7
Shula
Los Angeles
VIII
1974
Dolphins
24
Vikings
7
Shula
Houston
IX
1975
Steelers
16
Vikings
6
Noll
Miami
X
1976
Steelers
21
Cowboys
17
Noll
Pasadena
XI
1977
Raiders
32
Vikings
14
Madden
New Orleans
Source: The World Almanac and Book of Facts 1998
Answers
The following are some examples of qualitative and quantitative variables. You may not use these examples for ESA 2, but you may use similar tables of information.
MPG Data Table
The following information came from www.cjlt.ca/index.php/cjlt/article/viewArticle/34/31 on June 27, 2011. The table in the article contains a lot more information than this, so I just copied the information needed from the first 21 rows. This is a fairly complex example. There are much simpler examples available that would satisfy the criteria for ESA 2.
The "Year" column is quantitative and the "Location" column is qualitative.
Authors Year Location
Corstan and Colman 1996 UK
DeLaere et. al. 1998 USA
Hall and Cooper 1991 USA
Hanson 1990 USA
Hawk 1989 USA
Jones and McComac (study 1) 1992 UK
Jones and McComac (study 2) 1992 UK
Kim and Moon (study 3) 1998 Korea
Kim and Moon (study 4) 1998 Korea
Lee and Moray 1992 USA
Lerch et. al. (study 1) 1997 USA
Lerch et. al. (study 3) 1997 USA
Lerch et. al. (study 4) 1997 USA
Muenier 1995-96 USA
Muir and Moray (study 1) 1996 CND-FR
Muir and Moray (study 2) 1996 CND-FR
Robinson-Stavely and Cooper (study 1) 1990 USA
Robinson-Stavely and Cooper (study 2) 1990 USA
Rosenthal 1990 USA
Song 1990 USA
Sproul, et. al. 1991 USA
The qualitative variable "County" has only three possible outcomes: D, B and B/D, and I want at least four possible values for the categorical variable you find for ESA 2. The other two possible qualitative variables, "Public Boat Landing" and "Other Public Access", have too many blank cells to be acceptable.
Lakes Data Table
Again, you may not use any of the examples given on this site for ESA 2, but you may use similar tables of information.
Step-by-step explanation:
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