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Working the Data

Having data and understanding it are two different things. Demographics and likert scale questions increase your probability of finding a valid argument and having the substantial data pairings to back it up.

 

Below I will go over how 10% of a population response can mean so much more if you look at the numbers. Is 10% enough for change? Does the voice of a few hundred out of thousands matter? With the proper tabulation and cross referencing, you can prove that all answers should matter.

 

Possible scenario:

 

103 people out of 1000 responded to survey finding imagery offensive, but that is only 10%.

73 out of 300 participants were girls who responded that some imagery was offensive. Now that’s 24%.

36 out of 60 people who identified as Native American responded that some imagery was offensive. Now that is 60%.

12 out of 15 respondents were girls who identified as Native American responded that some imagery was offensive. Now that is 80%.

 

While the argument could be made only 10% of the total population responded that some imagery was offensive, a deeper look at things shows that 60-80% of certain demographic groups responded that some imagery was offensive. Offending 60-80% of any demographic should not be considered tolerable, but without the proper breakdown of the numbers you would not be able to see the trend.

 

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