DATA MEASUREMENT SCALES 2

Data Measurement Scales My favorite hobby is watching soccer. Even though I watch many soccer games andtournaments, nothing comes close to watching the World Cup, one of the most importantsporting events in the world.In the World Cup nominal scale is the list of all national teams that qualify for thetournament. World Cup tournaments have 32 […]

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Data Measurement Scales

My favorite hobby is watching soccer. Even though I watch many soccer games and
tournaments, nothing comes close to watching the World Cup, one of the most important
sporting events in the world.
In the World Cup nominal scale is the list of all national teams that qualify for the
tournament. World Cup tournaments have 32 teams drawn from all the soccer federations. These
federations roughly represent the world’s continents.
Ordinal scale is represented by the way the teams are ranked after playing in the group
stages. The 32 teams are first put into 8 groups. Each group has four participants. Only two
teams qualify to the next stage from the group stages. After every team has played with the three
teams in their group, they are given points based on their performance. Every win brings 3
points, a draw 1 point, and no point for loss. The team with most points is ranked at the top of the
group while the one with least points is ranked at the bottom. Thus, the top team can be said to
be strongest team and the bottom team the weakest one. This scale is an ordinate scale.
Interval scale is represented by conditions under which soccer is played. They can favor
some teams while disadvantage others. A temperature of 10 – 30 degrees Celsius is considered
most suitable for playing soccer. When temperatures are between 40-45 degrees Celsius, players
from colder countries may tire quickly thus giving advantage to those from hotter countries that
are used to playing under very high temperatures. Thus, the range of temperatures under which a
soccer game is played is an ordinate scale.

DATA MEASUREMENT SCALES 3
Lastly, the ratio scale may be represented by data such as the number of goals that a
player scores per game and the number of saves that a goal keeper makes per game. The data
could also be team-wide such as the number of goals conceded per game. This data gives clues
about the strength of a team and its players.

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