# data[].attributes.body
the ratio of non-criminal crimes in group a vs group b

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90% non-criminal in Group B

# data[].attributes.headline
disproportionately less crime in Group B compared to Group A

# data[].attributes.subject
disproportionately less crime in Group B compared to Group A

# data[].attributes.body
130/ 1000 people were criminal
13% of people were criminals in city C

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87% of the total population chosen that's from city c are non criminals compared to the 13% of the total that was chosen that are criminals.

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Percentage of Group A -criminal crimes - 25% and Group B - 10%

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City A has 15% more crime than City B

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News will try to show that group A has less criminals than group B. Reality will be skewed. When it should be 25% vs 10%.

# data[].attributes.subject
News will try to show that group A has less criminals than group B. Reality will be skewed. When it should be 25% vs 10%.

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Who is Group A and B?

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! out of four in group A are criminals. 3 out of 4 in group B are non-criminals.

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What is the total population in the city and in each group? (since this is only showing the crimes)

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What is the total population in the city and in each group? (since this is only showing the crimes)

# data[].attributes.headline
What is the total population we are looking at? What criteria is used in choosing the groups?

# data[].attributes.subject
What is the total population we are looking at? What criteria is used in choosing the groups?

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Are these figures for residents or anyone committing 'crime' in the city?

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Are these figures for residents or anyone committing 'crime' in the city?

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What type of community resources might be available in group b vs group a?

# data[].attributes.subject
What type of community resources might be available in group b vs group a?