The bar chart below shows the percentage of Australian men and women in different age groups who did regular physical activity in 2010.

The bar chart below shows the

percentage of Australian men and women in different age groups who did regular physical activity in 2010.
The representation below illustrates the statistics of Australian people who did physical
activity
constantly through six
peer-groups
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peer groups
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between
female
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females
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and
male
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males
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in 2010. A first glance at the diagram, reveals that all in all both genders physical
activity
has fluctuated by each
age
group.
Although
the highest figure has been recorded for 45-54-year-old
women’s
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women
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, the lowest number is associated with 35-44-year-old males so far.
firstly
as
it
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apply
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can be seen female table
saw
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fluctuated amount
while
the highest is accounted for 35 to 44 , the lowest is for 65 and over
woman
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women
show examples
by
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apply
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52.5 and 47.8 respectively.
In addition
, the highest percentage is followed by whom are attend to physical
activity
constantly in
55
Correct article usage
the 55
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-64
age
group. It is
cleared
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clear
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that by increasing in
age
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the age
show examples
group the number of women who prefer to do so
is
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apply
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grew until 65 and over, that it witnessed a fall
by
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of
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around 6%
secondly
, as
it
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it is
it was
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obvious the percentage of
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a man
the man
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man
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men
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whom
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who
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had physical
activity
is declined by going older.
Moreover
, the lowest number was
associat
Correct your spelling
associated
associate
with 35-44
while
the highest record was for
Correct article usage
the 15
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15
Correct article usage
the 15
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-24
age
groups
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apply
show examples
by
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apply
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39.5 and 52.8 respectively.
Submitted by amirisoodabeh24 on

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Linking words: Don't use the same linking words: "while".
Vocabulary: Replace the words activity, age with synonyms.
Vocabulary: The word "percentage" was used 2 times.
Vocabulary: The word "fluctuated" was used 2 times.
Topic Vocabulary:
  • Physical activity
  • Regular exercise
  • Age demographics
  • Participation rate
  • Trend analysis
  • Gender disparity
  • Health initiatives
  • Public health policies
  • Statistical comparison
  • Lifestyle choices
  • Work commitments
  • Age-related factors
  • Preventative health
  • Exercise habits
  • Surveillance data
  • Motivators and barriers
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