Our Margin Error Calculator is here to help. It helps you to find and decide the accuracy and confidence of the survey results.
The margin of error, also called the confidence interval, tells you how much you would expect the results of your survey to represent people's views as a whole. Bear in mind that surveying is a balancing act where you use a smaller group (your survey respondents) to represent a much larger group (the target audience or total population) to determine your survey's success.
The smaller the margin of error, the greater your confidence in results. For example, a 60% "yes" response with a 5 % margin of error means that 55% to 65% of the general population believe the answer is "yes."
Population size: Total number of people in the population you are researching. If you survey your organization, population size is the total number of employees.
Confidence level: A percentage that indicates how sure you can be that a certain amount of the population will select a answer. A 95 % confidence level, for example , means that the outcomes between x and y are 95% certain.
Sample size: A value that tells how many people you need to interview to get results that will represent the target population as accurately as possible.