What Is The Relationship Between Sample Size And Confidence Interval
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What Is The Relationship Between Sample Size And Confidence Interval. This indicates that for a given confidence level, the larger your sample size, the smaller your confidence interval. For a confidence interval of (0.45,0.51) the possibility exists that the candidate could have a majority of the support.
The general rule is that the width of the confidence interval will be proportional to 1√n, so to halve the interval you need 4 times the sample .
The larger your sample size, the more sure you can be that their answers truly reflect the population. The standard error for a population percentage has the square root of the sample size in the denominator. For a confidence interval of (0.45,0.51) the possibility exists that the candidate could have a majority of the support. Smaller sample sizes generate wider intervals.
