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PolarNik [594]
3 years ago
5

8 oranges cost $3.60 How much does it cost for each orange?​

Mathematics
2 answers:
Ilya [14]3 years ago
6 0

Answer:

The answer is 0.45 cents

Step-by-step explanation:

We divide 3.60 by 8 and got 0.45.

Have a great day

hoa [83]3 years ago
3 0

Answer:

Each orange costs 45 cents

Step-by-step explanation:

3.60 divided by 8 = .45

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Please help asap I suck at math :(
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1.25 hours (Or 1 hour and 15 minutes) and 14 MPH

Step-by-step explanation:

1. If it takes 1 hour to travel 48 miles, then you can subtract it from the 60 miles, and have 12 miles left. Divide 12 by 48, and you get 0.25, so if you add it together, you get 1.25. To check, 48 x 1.25 equals 60.

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givi [52]

Answer:

The probability of a positive test result is 0.017919

Option C is correct.

The probability is quite​ low, indicating that further testing of the individual samples will be a rarely necessary event.

Step-by-step explanation:

Probability of finding bacteria in one public swimming pool = 0.009

We now require the probability of finding bacteria in the combined test of two swimming pools. This probability is a sum of probabilities.

Let the two public swimming pools be A and B respectively.

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- It is also possible for public swimming pool A to not have bacteria and public swimming pool B to have bacteria. We would also obtain a positive result from testing a mixed sample of both public swimming pools.

- And lastly, it is possible that both swimming pools both have bacteria in them. We will definitely get a positive result from this too.

So, if P(A) is the probability of the event of bacteria existing in public swimming pool A

And P(B) is the probability of the event of bacteria existing in public swimming pool B

P(A') and P(B') represent the probabilities of bacteria being absent in public swimming pool A and public swimming pool B respectively.

P(A) = P(B) = 0.009

P(A') = P(B') = 1 - 0.009 = 0.991

Since the probabilities for each public swimming pool is independent of the other.

P(A or B) = P(A n B') + P(A' n B) + P(A n B)

= P(A)×P(B') + P(A')×P(B) + P(A)×P(B)

= (0.009×0.991) + (0.991×0.009) + (0.009×0.009)

= 0.008919 + 0.008919 + 0.000081

= 0.017919

Evidently, a probability of 0.017919 (1.7919%) indicates an event with a very low likelihood. A positive result is expected only 1.7919% of the time.

Hence, we can conclude that the probability is quite​ low, indicating that further testing of the individual samples will be a rarely necessary event.

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