Question

In attribute sampling, an increase in the desired level of confidence, holding all other factors constant, would result in?

1) an unpredictable change in sample size.
2) no change to the sample size.
3) a larger sample size.
4) a smaller sample size.

Answer 1

In attribute sampling, increasing the desired level of confidence while keeping everything else constant results in a larger sample size to maintain the precision of the confidence interval.

Step-by-step explanation:

In attribute sampling, an increase in the desired level of confidence, holding all other factors constant, would result in a larger sample size. Increasing the desired level of confidence means reducing the margin of error. To achieve this, a larger sample size is needed to capture the true characteristics of the population. A larger sample size provides more precision and accuracy in estimating population parameters.

In attribute sampling, an increase in the desired level of confidence, holding all other factors constant, would result in a larger sample size. This is to ensure the reliability of the results, as having a higher confidence level requires a larger interval due to the increased area being calculated under the normal distribution. A larger sample size reduces the error bound, making the confidence interval narrower and thus more precise. As the sample size grows, variability between samples decreases, making statistics derived from the sampling process more reliable.