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A random sample of size n is required to produce a margin of error of +/- E. By what percent does the sample size need to increase to reduce the margin of error to +/- 9/10E? Round your answer to the nearest percent

A random sample of size n is required to produce a margin of error of +/- E. By what-example-1

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The margin of error is inversely proportional to the square root of the sample size. We know that for a certain sample size n, the margin of error is +/- E, thus:


E=(k)/(√(n))

Where k is the constant of proportionality.

We need to know the sample size N that produces a margin of error of +/-9/10E:


(9)/(10)E=(k)/(√(N))

Substituting the value of E from the first equation:


(9)/(10)(k)/(√(n))=(k)/(√(N))

Simplifying by k:


(9)/(10)(1)/(√(n))=(1)/(√(N))

Squaring and solving for N:


\begin{gathered} (81)/(100)(1)/(n)=(1)/(N) \\ \\ N=(100)/(81)n \end{gathered}

We need to calculate the percentage of increase of n to get N. Subtracting n:


N-n=(19)/(81)n

Dividing by n:


(N-n)/(n)=(19)/(81)

The sample size must be increased by 19/81 = 0.2346.

It's equivalent to 23% (rounding to the nearest percent)

Answer. 23%

User Matt Terski
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