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William Noble

Abstract

When sampling geographic regions, transect sampling may be easier and cheaper than simple random sampling. However, transect sampling data is more difficult to analyze. In the past, transect sampling data has sometimes been analyzed as if it was the result of simple random sampling. The purpose of this note is to present simulation results which show that this can lead to vastly inaccurate conclusions when one is calculating confidence intervals. In particular, an example is given of a purported 95% confidence interval which is actually a 49% confidence interval.

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Apr 25th, 4:30 PM

CAN SIMPLE RANDOM SAMPLING CONFIDENCE INTERVALS BE USED ON TRANSECT SAMPLING DATA?

When sampling geographic regions, transect sampling may be easier and cheaper than simple random sampling. However, transect sampling data is more difficult to analyze. In the past, transect sampling data has sometimes been analyzed as if it was the result of simple random sampling. The purpose of this note is to present simulation results which show that this can lead to vastly inaccurate conclusions when one is calculating confidence intervals. In particular, an example is given of a purported 95% confidence interval which is actually a 49% confidence interval.