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Nostrana [21]
3 years ago
9

The American Veterinary Association claims that the annual cost of medical care for dogs averages $100 with a standard deviation

of $30. The cost for cats averages $120 with a standard deviation of $35. Some basic algebraic and statistical steps show us that the average of the difference in the cost of medical care for dogs and cats is then $100 – $120 = –$20. The standard deviation of that same difference equals $46. If the difference in costs follows a Normal distribution, what is the probability that the cost for someone's dog is higher than for the cat? Group of answer choices
Mathematics
1 answer:
Taya2010 [7]3 years ago
8 0

Answer:

The probability that the cost for someone's dog is higher than for the cat is 33.2%.

Step-by-step explanation:

With the data given, we know that the difference in cost of medical care of dogs and cats have a normal distribution with μ=-20 and σ=46.

To know the probability of the cost for the dog is higher than the cat, we have to calculate the probability of P(d>0).

Then we have to calculate z, and look up in a standarized normal distribution table.

Calculate z:

z=\frac{X-\mu}{\sigma}=\frac{0-(-20)}{46}=\frac{20}{46}=   0.4348

The probability of the difference being higher than 0, we have:

P(d>0)=P(z>0.4348)=0.33185

We can say that the probability that the cost for someone's dog is higher than for the cat is 33.2%.

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1a) 199

1b) 193

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2d) ↑

2e) because the data is not ordered, it is difficult to determine the quartile data. Once it is ordered like 6, 7, 7, 7, 8, 8, 9, 10, 10. The data can be visualized alot easier. With the box plot we can determine q3 of the data by looking at the 3rd line, using the whiskers of the box to find the minimum and maximum values.

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You need to find the minimum, maximum, the quartile data obtained by having an even amount of data on both sides, order it so that values can be grouped. this includes q1, q2 (or median), and q3.

In this case the ordered data would be: 4,6,8,8,9,11,12,14,14,16.

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4) ↑

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You need to find the minimum, maximum, the quartile data obtained by having an even amount of data on both sides, order it so that values can be grouped. this includes q1, q2 (or median), and q3.

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Step-by-step explanation:

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