Suppose a quality control engineer wishes to estimate the proportion of defective items in a production line. i. (4 points) To estimate the proportion within 0.02 and with 98% confidence, what is the minimum required sample size if the company currently has no idea about the

The minimum sample size required is 3385.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of , and a confidence level of , we have the following confidence interval of proportions.

In which

z is the zscore that has a pvalue of .

The margin of error is:

98% confidence level

So , z is the value of Z that has a pvalue of , so .

To estimate the proportion within 0.02 and with 98% confidence, what is the minimum required sample size if the company currently has no idea about the

The minimum sample size required is n.

We find n when

We don't know the true proportion, so we use , which is when the largest minimum sample size will be needed.

Rounding up

The minimum sample size required is 3385.

the answer is a

step-by-step explanation:

f(x) = y

f(-3) = -5

step-by-step explanation: