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How to Find Minimum Sample Sizes for Tests

When conducting a survey, the larger the survey, the more significant the results. However, each additional person surveyed adds to the cost of conducting the survey. Therefore, you should plan ahead to determine how large you need to make your survey so it has the power you need. The needed sample size depends on your confidence level, the confidence interval and the anticipated proportion of the results. The more precise you need your results, the higher your sample size will need to be.

Instructions

    • 1

      Convert your desired confidence level to a z-score with a z-score table. For example, a 98 percent confidence interval would have a z-score of 2.326.

    • 2

      Subtract your proportion from 1 to find the opposite proportion. To err on the side of caution, use a proportion of 0.5. For example, if you expect an election to be very close, use a proportion of 0.5 so you subtract 0.5 from 1 to get 0.5.

    • 3

      Multiply the z-score by your proportion by 1 minus your proportion. In this example, multiply 2.326 by 0.5 by 0.5 to get 0.5815.

    • 4

      Multiply your confidence interval by itself. For example, in this example, if you want a confidence interval of 0.02, or 2 percent, multiply 0.02 by 0.02 to get 0.0004.

    • 5

      Divide the Step 3 result by the Step 4 result to find the minimum sample size for the test. In this example, divide 0.5815 by 0.0004 to get a minimum sample size of 1454.

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