Answer:
The answer is 97%.
Explanation:
The zika virus' 1% incidence rate in the population has no effect over the probability of the patient being infected or not. If the test has a 3% false positive rate that means that if it is positive, the results have a 97% chance of being true. Therefore the chance that the person who took the test and had a positive result being actually infected is 97%.
I hope this answer helps.
Answer:
C
Explanation:
Becuase fom a vaccine you are recieving antibodies by another animal or human donor.
D is unlinkely since it describes how the mother is nursing the baby, so nothing directly mentioning of the baby recieving any antibodies. The other options also talk about how the body creates its own antibodies, which isn't passive immunity.
1) False. Scientists may predict something but realize a difference soon after before the test, so they could definitely change the hypothesis if they want. It’s only AFTER the experiment they cannot. Because a hypothesis is like a “guess” as to what’s going to happen, right?
2) False. A hypothesis can’t be “valid” because it’s literally a prediction.
3) True. Especially if you’re doing a chemistry lab, it’s really important things are done in order or else the product might result as something else you were expecting, or can be very dANGEROUS
4) True. The conclusion must be based on data because it’s the observation that was seen.
Hope this helps!! I could have answered in short form but I just wanted to make them understandable:)
Their mass because it can let you know their weight and size
