s to the current rate of infection (usually decided by the me st week's test data), and analyze how much money the cent by using pooled testing. Your strategy should include a d for abandoning pooled testing, and it may include other ds for changing the sizes of the pools. It should be realistic e without special statistical knowledge to implement this - don't make it too complicated. nce you have decided on pool sizes, explore variability with ol size you're recommending by simulating with the exact of tests you'd do in a day (e.g. if your pool size is 30, you'd pools per day, so use 40 samples instead of 10,000). Repeat times, recording the highest and lowest rate of pools with e positive result, and be sure to reset after each sampling ion. Calculate a range of potential costs for one day of testin pool size. scribe your strategy and how your data supports the strate assume for this part that your reader understands the al techniques you've used. Note that there is no one correct to this question. What I am looking for is that you engage wi and use it to support your advice. Analysis: Write a paragraph or more advising the testing bout your strategy for pooled testing, including how much hey should expect to save from individual testing. Aim your at the general public; don't assume any special statistical