# data[].attributes.body
a big collection of something

# data[].attributes.headline
It takes to long to collect a large portion of data

# data[].attributes.subject
It takes to long to collect a large portion of data

# data[].attributes.headline
It collects a larger and more detailed amount of data

# data[].attributes.subject
It collects a larger and more detailed amount of data

# data[].attributes.headline
For cons it sometimes it overpopulates like in China and the pros is that there is more man power for work

# data[].attributes.subject
For cons it sometimes it overpopulates like in China and the pros is that there is more man power for work

# data[].attributes.headline
a group people WHERE YOU CAN COLLECT DATA

# data[].attributes.subject
a group people WHERE YOU CAN COLLECT DATA

# data[].attributes.body
j.s

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the whole group of people

# data[].attributes.headline
everything that you can possibly sample.

# data[].attributes.subject
everything that you can possibly sample.

# data[].attributes.body
it only tests a small amount of people

# data[].attributes.headline
sample is a small amount of something, it can be a small amount of recorded data...

# data[].attributes.subject
sample is a small amount of something, it can be a small amount of recorded data...

# data[].attributes.body
A small grab of information taken from a larger source

# data[].attributes.body
a section or part of the population

# data[].attributes.body
collecting data from a bunch of people

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If the survey choices are popular or not popular so you can see different results

# data[].attributes.subject
If the survey choices are popular or not popular so you can see different results

# data[].attributes.body
A way of gathering data.

# data[].attributes.body
Collecting data

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If the sample size is small you won't get a very accurate result and if the size is larger, there are more different results

# data[].attributes.subject
If the sample size is small you won't get a very accurate result and if the size is larger, there are more different results

# data[].attributes.body
the more you increase the sample size the outliers make less difference and therefore make it more accurate

# data[].attributes.body
you wont get the most accurate result and the pro is that is a lot easier to survey a small amount of people.

# data[].attributes.body
If the Sample size is too large, then the data becomes to hard to find stats. If it is too small then the data becomes unreliable

# data[].attributes.body
From a larger sample, you can collect a more accurate set of results

# data[].attributes.body
larger amount of stats means a more accurate result

# data[].attributes.headline
If the sample size is small then you will find that your results may not be as accurate, if you have a big sample size then it will normally be a better representation of the population.

# data[].attributes.subject
If the sample size is small then you will find that your results may not be as accurate, if you have a big sample size then it will normally be a better representation of the population.

# data[].attributes.body
Sam

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Distributing data between people or things

# data[].attributes.body
it is a way of splitting up data

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it evenly divides the data into equal sections that are equal

# data[].attributes.subject
it evenly divides the data into equal sections that are equal

# data[].attributes.headline
 James                              sharing data with people

# data[].attributes.subject
 James                              sharing data with people

# data[].attributes.body
where you split up the data evenly between different people