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trasher [3.6K]
3 years ago
10

Which of the following distributions can be used to solve the following problem? The average number of cars arriving at a drive-

through fast-food restaurant is 3 cars in 10 minutes. What is the probability that exactly four cars will arrive in a 5-minute interval?
Mathematics
1 answer:
Bas_tet [7]3 years ago
7 0

You did not state the options to choose from, but I will give a suitable distribution for solving the given problem.

Answer:

Poisson Distribution

Step-by-step explanation:

Poisson Distributions are used in calculating the probability of an event occurring over a given interval.

It is calculated using the formula

P(X = x) = [e^(-β)β^x]/x!

Where e = 2.718

β = mean or expected value of the variable.

x = number of successes of the event

Applying this to the given problem, suppose we are trying to find the probability that exactly four cars will arrive in 5 minute interval.

Average number of cars arriving = 3/10 = 0.3

The probability of success over a short interval must be the same probability over a long interval, so we have β = 0.3 × 5 = 1.5

x = 4

P(X = 4) = [e^(-1.5) (1.5)^(4)]/4!

= 0.047066518

≈ 0.0047

There is a 0.47% chance that exactly four cars will arrive in 5 minute interval.

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(c) The two points lie on the same line and that both points results to a rate of 3.5 cm/s.

Step-by-step explanation:

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Answer:

Step-by-step explanation:

Given that a statistician selected a random sample of 125 observations from a population with a known standard deviation equal to 16 and computed a sample mean equal to 77

We can use Z critical values since population std deviation is known. Also sample size >30

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Margin of error = Z critical value * 1.4311

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n Std error Z critical  Conf interval  

            89%    

     

125 1.4311     1.6  (74.71024 79.28976 )

     

     

          93%    

            1.81  (74.409709 79.590291 )

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c) When sigma changes to 441, std error changes to \frac{16}{\sqrt{441} } \\=0.7619

So we get

n Std error Z critical  Conf interval  

           89%    

     

441  0.7619     1.6  (75.781 78.219 )

     

     

         93%    

           1.81  (75.621 78.37904)

d) When n = 625, std error changes to 16/25 = 0.64

n Std error Z critical  Conf interval  

        89%    

     

441 0.64 1.6        (75.976 78.024 )

     

     

       93%    

        1.81      (75.842 78.1584)

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Answer:

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