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laiz [17]
3 years ago
6

An airline’s weekly flight data showed a 98% probability of being on time. If this airline has 15,000 flights in a year, how man

y flights would you predict to arrive on time? Explain whether you can use the data to predict whether a specific flight with this airline will be on time.
first answer gets some points
Mathematics
1 answer:
alexandr1967 [171]3 years ago
6 0
If there are 15,000 flights, and there is 98% chance of being on time, then 14,700 of the flights will be on time. However, you can't use the data to tell whether a specific flight will be on time, as in the end, a probability is just a probability and not a guarantee. This means if the first 300 flights of an airline is late, that doesn't mean that there is a 100% chance of the rest of the flights being on time, but there is likely just going to be a higher chance of an ontime flight.
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In order for a vaccine to be effective, it should reduce a person's chance of acquiring a disease. Consider a hypothetical vacci
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Here is the full question.

In order for a vaccine to be effective, it should reduce a person's chance of acquiring a disease. Consider a hypothetical vaccine for malaria‚- a tropical disease that kills between 1.5 and 2.7 million people every year.1 Suppose the vaccine is tested with 700 volunteers in a village who are malaria-free at the beginning of the trial. Three hundred of the volunteers will get the experimental vaccine and the rest will not be vaccinated. Suppose that the chance of contracting malaria is 10% for those who are not vaccinated.

Construct a two-way table to show the results of the experiments if:

(a) The vaccine has no effect

(b) The vaccine cuts the risk of contracting malaria in half

Answer:

Step-by-step explanation:

From the given information above:

Suppose, there is no effect from the vaccine, the risk of having malaria for vaccine & no vaccine is equal to 0.1

Now, the Probability of not having malaria if vaccinated or no vaccinated = 1 - 0.1 = 0.9

Therefore: the table is shown below as follows:

                             Malaria              No Malaria                Total

Vaccinated          300 × 0.1 = 30     300 × 0.9 = 270    300

No Vaccine          400 × 0.1 = 40    400 × 0.9 = 360      700-300 = 400

Total                     40 + 30 = 70      270 + 360 = 630       700

(b)

The risk of malaria for vaccinated if the vaccine cuts the risk of contracting malaria in half are equal to 0.1/2 = 0.05

Thus; the probability of not getting malaria if vaccinated = 1 - 0.05 = 0.95

The table can then be computed as follows:

                             Malaria                No Malaria                 Total

Vaccinated       300 × 0.05 = 15     300 × 0.95 = 285       300

No Vaccine      400 × 0.1 = 40         400 × 0.9 = 360         700-300 = 400

Total                 40 + 15 = 55             285 + 360 = 645       700

7 0
3 years ago
Pls help ill give branliest​
Oksi-84 [34.3K]

Answer:

looks to me like it could be (A.)

Step-by-step explanation:

i might be wrong if i am im sorry

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