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Television
audiences are not measured by counting the actual number of viewers tuned to a program.
When you consider that there are approximately 275 million television viewers in the U.S.,
counting all of them all the time would not be feasible. Measuring the audience from
a sample is not only more efficient, but also allows researchers to collect a lot more
detailed information from the people in the sample, and then project that knowledge to a
much larger population.
  
Any system of television
measurement depends upon an audience sample that is representative of viewers as a whole.
A properly selected, random group of households should mirror the
behavior and characteristics of the population. By using random probability samples,
Nielsen Media Research can project the viewing in its samples to the entire
population.
  
Nielsen Media Research's
national sample consists of 5,000 households, including approximately 11,000
persons. We
use the U.S. Census Bureau's decennial (updated annually) census counts of all housing
units in the nation. Using these data, Nielsen Media Research randomly selects more
than 6,000 small geographic areas (blocks in urban areas and their equivalent in
rural areas) and dispatches surveyors to each area to enumerate and list housing
units.
Housing units are randomly selected within each sample area. Each occupied housing
unit is a household. The sample is designed to give each household in the population a
known chance to be selected for the National People Meter Sample. Volunteers,
though
plentiful, cannot be included in the sample. For
more information about Sampling, please visit our web site or What
TV Ratings Really Mean.
Again,
while all ethnic groups are
represented in Nielsen Media Research's national sample in proportion to their percent of
the population being measured, only the two largest ethnic groups, African-Americans and
Hispanic-Americans are reported in Nielsen Media Research's
standard ratings reports (see
African-American Audience and Hispanic-American
Audience).
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