The graphs above give information about computer ownership as a percentage of the population between 2002 and 2010, and by level of education for the years 2002 and 2010.

The graphs above give information about computer ownership as a percentage of the population between 2002 and 2010, and by level of education for the years 2002 and 2010.
The bar graph depicts data about the percentage of the head of an individual as a computer’ holding by
level
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the level
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of study between 2002 and 2010. The data is shown by
percentage
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the percentage
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of five different levels of education, from no high school to postgraduate. By and large, it is noticeable from the bar graph that
people
who pursued higher education owned
computers
the most than
people
who studied until high school.
Moreover
, it is
also
clearly presented in the graph that the ownership of
computers
was lower in 2002 than in 2010 .
According to
the statistical data, it can be clearly seen that the highest number of
computers
was coming from postgraduate education over the period of time, which accounted for ninety
percent
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per cent
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in 2010 and 70% in 2022.
In addition
,
people
in
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with
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college and bachelor degrees share
the
Correct article usage
apply
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similarities
of
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in
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the number of computer owners in 2010 (almost 85
percent
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per cent
show examples
). Turning to the contrast, the least owners of
computers
came from
people
with no high school diploma, only
fourth tenth
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fourth-tenth
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percent
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per cent
show examples
in 2010 and just over
one tenth
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one-tenth
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percent
Change the spelling
per cent
show examples
in 2002.
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Vocabulary: Replace the words people, computers, percent with synonyms.
Vocabulary: The word "graph" was used 3 times.
Vocabulary: The word "data" was used 3 times.
Vocabulary: The word "number of" was used 2 times.
Vocabulary: The word "percentage" was used 2 times.

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Topic Vocabulary:
  • trend analysis
  • population demographics
  • educational attainment
  • disparities
  • technological advancement
  • digital divide
  • market penetration
  • socio-economic factors
  • predictive insights
  • statistical significance
  • longitudinal study
  • accessibility
  • affordability
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