How many people do you need for your survey?  

How much ErrorMeasurement Error ~   the amount of error made when we use sample data to represent the population data. An error of +/- 3% is an accepted standard.   E.g., if we get an average Customer Satisfaction rating of 85 in our sample (+/-3%), the population average will be in the range of 82 to 88. are you willing to accept? +/- 3% is a common standard.	+/- %
What is your population size?
90% ConfidenceConfidence Level ~  the probability that we have selected a sample that actually represents the population. 95% is the accepted standard, although 90% or 99% are also acceptable, depending on what you need. For example, if we sample a population 100 times, a 95% Confidence Level means that 95 of the samples will be representative of the population, and 5 will not be.    Respondents 95% ConfidenceConfidence Level ~  the probability that we have selected a sample that actually represents the population. 95% is the accepted standard, although 90% or 99% are also acceptable, depending on what you need. For example, if we sample a population 100 times, a 95% Confidence Level means that 95 of the samples will be representative of the population, and 5 will not be.    Respondents 99% ConfidenceConfidence Level ~  the probability that we have selected a sample that actually represents the population. 95% is the accepted standard, although 90% or 99% are also acceptable, depending on what you need. For example, if we sample a population 100 times, a 95% Confidence Level means that 95 of the samples will be representative of the population, and 5 will not be.    Respondents

  How accurate are your survey results?  

What is your population size?
How many people completed your survey?
90% ConfidenceConfidence Level ~  the probability that we have selected a sample that actually represents the population. 95% is the accepted standard, although 90% or 99% are also acceptable, depending on what you need. For example, if we sample a population 100 times, a 95% Confidence Level means that 95 of the samples will be representative of the population, and 5 will not be. ,  +/- ErrorMeasurement Error ~   the amount of error made when we use sample data to represent the population data. An error of +/- 3% is an accepted standard.   E.g., if we get an average Customer Satisfaction rating of 85 in our sample (+/-3%), the population average will be in the range of 82 to 88. 95% ConfidenceConfidence Level ~  the probability that we have selected a sample that actually represents the population. 95% is the accepted standard, although 90% or 99% are also acceptable, depending on what you need. For example, if we sample a population 100 times, a 95% Confidence Level means that 95 of the samples will be representative of the population, and 5 will not be. ,  +/- ErrorMeasurement Error ~   the amount of error made when we use sample data to represent the population data. An error of +/- 3% is an accepted standard.   E.g., if we get an average Customer Satisfaction rating of 85 in our sample (+/-3%), the population average will be in the range of 82 to 88. 99% ConfidenceConfidence Level ~  the probability that we have selected a sample that actually represents the population. 95% is the accepted standard, although 90% or 99% are also acceptable, depending on what you need. For example, if we sample a population 100 times, a 95% Confidence Level means that 95 of the samples will be representative of the population, and 5 will not be. ,  +/- ErrorMeasurement Error ~   the amount of error made when we use sample data to represent the population data. An error of +/- 3% is an accepted standard.   E.g., if we get an average Customer Satisfaction rating of 85 in our sample (+/-3%), the population average will be in the range of 82 to 88.