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Kaleb Becker

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17y ago

You need to select a random sample and survey those people. The more you survey the more accurate your data will be. When choosing an optimal sample size of your survey take into consideration: Alpha value (chance of a false positive). Usually set to 5%. Beta value (chance of a false negative). Usually set to 20%. Margin of error. Usually set to around 3%. Based on these criteria an optimal sample size can be determined via the statistical formula: N = (z_crit_alpha/2 + z_crit_beta)^2 * p(1-p)/delta^2 which in this example, assuming a 50-50 split: = (1.960+0.842)^2 * (0.50)(0.50)/0.03^2 =2180 Of course the "optimal sample size" may be too large, too time-consuming, and/or too expensive to conduct. So compromises to delta, alpha and beta may have to be made.

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Q: How can you draw a statistics sample that assumes a 50-50 split on an issue?
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