The percent defective for parts produced by a manufacturing process is targeted at 4%. The process is monitored daily by taking samples of sizes n = 160 units. Suppose that today’s sample contains 14 defectives. How many units would have to be sampled to be 95% confident that you can estimate the fraction of defective parts within 2% (using the information from today’s sample--that is using the result that f$hat {767} =0.0875f$

And rounded up we have that n=767

Step-by-step explanation:

We know the following info:

represent the sample size selected

represent the number of defectives in the sample

represent the estimated proportion of defectives

represent the margin of error desired

The margin of error for the proportion interval is given by this formula:  

   (a)  

And on this case we have that and we are interested in order to find the value of n, if we solve n from equation (a) we got:  

  (b)  

The crtical value for a confidence level of 95% is

And replacing into equation (b) the values from part a we got:

And rounded up we have that n=767

do you have a picture of the table

add a pic of the graph, then ill edit this "answer" and solve it for you : 3

step-by-step explanation: