Question

If all other sample size planning factors were exactly the same in attribute sampling, changing the confidence level from 95% to 90% and changing the desired precision from 2% to 5% would result in a revised sample size that would be

A. Smaller.
B. Unchanged.
C. Larger.
D. Indeterminate.

Answer 1

In attribute sampling, changing the confidence level from 95% to 90% and changing the desired precision from 2% to 5% would result in a revised sample size that is determinate.

Step-by-step explanation:

In attribute sampling, changing the confidence level from 95% to 90% and changing the desired precision from 2% to 5% would result in a revised sample size that is determinate rather than indeterminate. The sample size can be calculated using the formula:

Sample Size = (Z-score)^2 * (p * (1-p)) / (desired precision)^2

Where the Z-score corresponds to the desired confidence level and p refers to the estimated proportion of the attribute being sampled.

For example, if the original sample size was determined to be 500 based on a 95% confidence level and 2% desired precision, and the desired changes are made to 90% confidence level and 5% desired precision, the revised sample size can be calculated accordingly.