plus-four confidence interval method for a difference in proportions is accurate in samples as small as?
A plus four interval for small sample size provides a better estimate for a population proportion than using the typical confidence interval for a proportion. Due to the population proportion being so small, the sample proportion is very close to 0 or very close to 1. In this type of situation, we take additional four observations consists of two hypothetical successes and two failureswe ( plus four interval) which would provide a better estimate than typical confidence interval.
So, the statement "plus-four confidence interval method for a difference in proportions is accurate in samples as small as" is a true statement.
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