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What is the statistical significance test that should be run to see if the results from a smaller group of those surveyed is significant and reflective of the larger group?

For instance:

  1. Survey 1000 people and out of the 1000 people we also want to look at the group of 300 people that are within a certain demo. Would it be statistically significant to look at these results and assume that they are not directionalnon-directional at 95% confidence?
  2. And then from that, what should I run in order to see if proportions between the two is significant? Let's say out of the larger group of 1000, 100 answered yes to a questions. And out of those 300, 50 answered yes to a question.

What is the statistical significance test that should be run to see if the results from a smaller group of those surveyed is significant?

For instance:

  1. Survey 1000 people and out of the 1000 people we also want to look at the group of 300 people that are within a certain demo. Would it be statistically significant to look at these results and assume that they are not directional at 95% confidence?
  2. And then from that, what should I run in order to see if proportions between the two is significant? Let's say out of the larger group of 1000, 100 answered yes to a questions. And out of those 300, 50 answered yes to a question.

What is the statistical significance test that should be run to see if the results from a smaller group of those surveyed is significant and reflective of the larger group?

For instance:

  1. Survey 1000 people and out of the 1000 people we also want to look at the group of 300 people that are within a certain demo. Would it be statistically significant to look at these results and assume that they are non-directional at 95% confidence?
  2. And then from that, what should I run in order to see if proportions between the two is significant? Let's say out of the larger group of 1000, 100 answered yes to a questions. And out of those 300, 50 answered yes to a question.
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P.NY
  • 1
  • 1

Testing Statistical Significance for two different groups that were surveyed

What is the statistical significance test that should be run to see if the results from a smaller group of those surveyed is significant?

For instance:

  1. Survey 1000 people and out of the 1000 people we also want to look at the group of 300 people that are within a certain demo. Would it be statistically significant to look at these results and assume that they are not directional at 95% confidence?
  2. And then from that, what should I run in order to see if proportions between the two is significant? Let's say out of the larger group of 1000, 100 answered yes to a questions. And out of those 300, 50 answered yes to a question.