An Oregon wine association wants to determine the proportion of West Coast consumers who would spend at least $30 on Willamette Valley pinot noir at a 99% confidence level. If they wish to have an error of no more than 4%, how large a sample must they take?

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Answer:

The minimum sample size required is 1041.

Step-by-step explanation:

Assume that the proportion of West Coast consumers who would spend at least $30 on Willamette Valley be 50%.

That is, p = 0.50.

The margin of error is computed using the formula:

[tex]MOE=z_{\alpha /2}\sqrt{\frac{p(1-p)}{n} }[/tex]

Given:

MOE = 0.04

Critical value = [tex]z_{\alpha /2}=z_{0.01/2}=z_{0.005}=2.58[/tex]

*Use the z-table for the critical value.

Compute the value of n as follows:

[tex]MOE=z_{\alpha /2}\sqrt{\frac{p(1-p)}{n} }\\0.04=2.58\times\sqrt{\frac{0.50(1-0.50)}{n} }\\0.0155=\sqrt{\frac{0.25}{n} }\\n=\frac{0.25}{(0.0155)^{2}} \\=1040.58\\\approx1041[/tex]

Thus, the minimum sample size required is 1041.

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