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Survey Research Success Secret: The Right Sample Size

Sample Calculator Tool: Polling enough people increases the strength or your survey or study results. The number of people is known as the sample size. Enjoy taking the calculator on this page for a test drive. You’ll now be able to decode the study stats you see (or don’t see) in someone’s news release.

It's easy to do with our Sample Size Calculator tool. A) Enter the suggested numbers. B)Click the = (equals sign) and the tools does the math for you. C) Click the "C" to clear the numbers and try other numbers. Enjoy.

Sample Size Calculator

Your recommended sample size is
 Click = to calculate. "C" is to clear information.


Survey Sample Terms: What They Mean

The Survey Population (How Many)

The larger your sample in comparison to the overall population, the more accurate your answers will be. However, if the population is very large or unknown, you can leave this blank as, mathematically speaking, the differences are statistically minimal.

1,000 people with a confidence level of 95% and a confidence interval of 3, and 70% choose Brand A, you can be 95% certain that 67%-73% (70% +/- 3) would choose Brand A.

Sample size

The sample size is the chunk of people you have chosen to survey from a larger population. The larger your sample in comparison to the overall population, the more accurate your answers will become.


This is the percentage of your sample who answered a specific way. If 90% of your sample chooses Brand A, you can be pretty sure that the population would choose Brand A, whereas if 51% of your sample chooses Brand A, the likelihood that this is incorrect is higher. In general, you can be more confident in extreme answers rather than middle-of-the-road answers. Keep at 50% to get the most usable confidence interval.

Confidence level

The confidence level tells you how "sure" you can be that your population would pick a certain answer.

Confidence interval

The confidence interval is the +/- range that is added to the answer you receive from your sample to provide a percentage range that accurately describes the likely answer of the population.


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