1. The state of Ohio conducted tests on 107 100.
tests on 107,109 people, and 14,581 tested positive. (6 points)

A. What is p for the number who tested positive (round to the nearest hundredth of a percent)?

B. Based upon the testing results, of the 11.69 million people who live in Ohio, what is the best estimate
for the number of people who would test positive for the v*rus?

C. (Extra credit 3 points) Are the testing results biased or not? Please support your position.

A. p(hat) = .139

We divide our sample population by the amount who tested positive. 14851/107109 = .139.

B. 1.62 million

We just multiply the p times the population. 11.69 M * .139 = 1.62 M

C. No

It depends upon the sample method. From what I can tell, I assume all conditions are met and it was not biased.

If it wasn't random, that is a problem, but we aren't given this information.

We can test if it's small enough. It can't be larger than 10% of the population. 107109 * 10 < 11.69 million, so it's small enough.

We can also test if it's large enough. np and nq must be greater than 10. 107100 * .139 > 10, 107100 * .861 > 10.

the answer is b

lol we need to see what the question is asking about

step-by-step explanation: