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 to your question a or b but i am pretty sure it is b. i hope this : )

step-by-step explanation:

answer: if you weigh 60 pounds on earth, on the moon you will weigh about 10 pounds. if you weigh 120 pounds on earth, you will weigh about 20 pounds on the moon. since weight is caused by the mass of two objects that are near each other, the bigger the objects, the more the force of gravity.

step-by-step explanation: if you weigh 60 pounds on earth, on the moon you will weigh about 10 pounds. if you weigh 120 pounds on earth, you will weigh about 20 pounds on the moon. since weight is caused by the mass of two objects that are near each other, the bigger the objects, the more the force of gravity.