Statistical Significance Calculator
Use this calculator to determine whether two percentages are statistically significantly different or not.
Number of Surveys – Sample 1 | |
Observed % – Sample 1 (written as a number between 0 and 100; i.e., 70% = 70) | |
Number of Surveys – Sample 2 | |
Observed % – Sample 2 (written as a number between 0 and 100; i.e., 70% = 70) | |
Confidence Interval ± | |
Significance = |
Sample Size to Achieve Desired Error Rate
Use this calculator to determine how many surveys you need to achieve a desired confidence interval (or margin of error). A confidence interval, or margin of error, tells you the range that likely contains the true value of a population. You may have seen it as a plus or minus amount reported with poll results. For example, if your confidence interval is 6, and 70% of your sample picks an answer, you can be sure that if you asked everyone in the population, you would get an answer of between 64% and 76% (70% ± 6%).
N [universe]: The total number of people your sample represents
Confidence Level: A confidence level tells you how often the true percentage of the population falls within the confidence interval. Using a 95% confidence level means you can be 95% certain, and a 99% confidence level means you can be 99% certain that the true percentage of the population is within the confidence interval.
Picking a higher confidence level means your confidence interval will be larger. Picking a lower confidence level means the confidence interval will be smaller.
If you don’t know what to pick, a 95% confidence level is commonly used.
N [universe] | |
z [confidence interval in decimal form] | |
e [desired error] | |
n [Sample Needed] |
Error Rate Calculator
Use this calculator to determine your confidence interval. A confidence interval, or margin of error, tells you the range that likely contains the true value of a population. You may have seen it as a plus or minus amount reported with poll results. For example, if your confidence interval is 6, and 70% of your sample picks an answer, you can be sure that if you asked everyone in the population, you would get an answer of between 64% and 76% (70% ± 6%).
n [sample]: How many surveys were completed
N [universe]: How many people your sample represents
Confidence Level: A confidence level tells you how often the true percentage of the population falls within the confidence interval. Using a 95% confidence level means you can be 95% certain, and a 99% confidence level means you can be 99% certain that the true percentage of the population is within the confidence interval.
Picking a higher confidence level means your confidence interval will be larger. Picking a lower confidence level means the confidence interval will be smaller.
If you don’t know what to pick, a 95% confidence level is commonly used.
n [sample] | |
N [universe] | |
Confidence Level: | |
Observed % (written as a number between 0 and 100; i.e., 70%=70) | |
Confidence Interval ± |