Adjusting your survey’s confidence level

Learn about confidence levels and how they can impact your survey analysis.

💼 What it does

  • The statistical likelihood that a random variable lies within the confidence interval of an estimate.
  • The confidence level is represented by a percentage and this percentage indicates how confident you can be that a survey's result will capture the true opinions or attitudes of the population.
  • The confidence interval is displayed as two numbers separated by a dash.
  • In the case of a Segmanta survey, the confidence interval surrounding a result will only appear after that specific answer choice has at least 30 responses. 
  • Simply hover over the segment marker to view the confidence interval of a specific answer choice.
  • The confidence interval can be affected by the confidence level you have set for your survey analysis. Generally, a higher confidence level will lead to a wider confidence interval.

Pro-tip: For example, let's say you were surveying a representative sample group made up of 1000 respondents about their attitude towards banning sugar in schools. A 95% confidence level would mean if you were to repeat the same survey, over and over again, each time with a different sample of 1,000 respondents, you can expect to experience the same survey results 95% of the time. 

Pro-tip: The most commonly used and accepted confidence level is 95% and is the default setting for every survey.

🏠 Where it lives 

  • In Survey Analytics > Home tab, under More (...) button.