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Diano4ka-milaya [45]
3 years ago
13

95 percent of what number is 57

Mathematics
1 answer:
snow_tiger [21]3 years ago
7 0

Answer:

60

Step-by-step explanation:

95% × ? = 57

? =

you could do it any of these ways

57 ÷ 95% = 60 (make sure to times by 100 cause you will get a decimal of 0.6!)

57 ÷ (95 ÷ 100) =  60

(100 × 57) ÷ 95 =  60

5,700 ÷ 95 =  60

~~~~~~~~~~~~~~

60

------------

Proof

57 ÷ 60 =  0.95

0.95 * 100 = 95%

~~~~~~~~~~~~~`

hope it helps you : )

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1Y, the number of accidents per year at a given intersection, is assumed to have a Poisson distribution. Over the past few years
miss Akunina [59]

Answer:

The probability that the intersection will come under the emergency program is 0.1587.

Step-by-step explanation:

Lets divide the problem in months rather than in years, because it is more suitable to divide the period to make a better approximation. If there were 36 accidents in average per year, then there should be 3 accidents per month in average. We can give for the amount of accidents each month a Possion distribution with mean 3 and variance 3.

Since we want to observe what happen in a period of one year, we will use a sample of 12 months and we will take its mean. We need, in average, more than 45/12 = 3.75 accidents per month to confirm that the intersection will come under the emergency program.

For the central Limit theorem, the sample mean will have a distribution Normal with mean 3 and variance 3/12 = 0.25; thus its standard deviation is √0.25 = 1/2.

Lets call the sample mean distribution X. We can standarize X obtaining a standard Normal random variable W with distribution N(0,1).

W = \frac{X-\mu}{\sigma} = \frac{X-3}{1/2} = 2x-6

The values of \phi , the cummulative distribution function of W, can be found in the attached file. We are now ready to compute the probability of X being greater than 3.75, or equivalently, the probability than in a given year the amount of accidents is greater than 45, leading the intersection into an emergency program

P(X > 3.75) = P(2X-6 > 2*3.75-6) = P(W > 1) = 1-\phi(1) = 1-0.8413 \\= 0.1587

Download pdf
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