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Umnica [9.8K]
2 years ago
8

Graph and label each figure and it’s image under the given translation. Give the coordinates of the image.

Mathematics
1 answer:
lutik1710 [3]2 years ago
5 0

Answer:

See below ~

Step-by-step explanation:

<u>Question 3 : (x, y - 5)</u>

  • K' = (-3, 2 - 5) = <u>(-3, -3)</u>
  • L' = (1, 4 - 5) = <u>(1, -1)</u>
  • M' = (-1, 0 - 5) = <u>(-1, -5)</u>
  • N' = (-5, -2 - 5) = <u>(-5, -7)</u>

<u></u>

<u>Question 4 : (x + 4, y + 1)</u>

  • D' = (-4 + 4, 3 + 1) = <u>(0, 4)</u>
  • E' = (0 + 4, 2 + 1) = <u>(4, 3)</u>
  • F' = (-2 + 4, -6 + 1) = <u>(2, -5)</u>
  • G' = (-6 + 4, -5 + 1) = <u>(-2, -4)</u>
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mestny [16]

Answer:

1) P(X = 8) = 0.1033

P(X = 9) = 0.0688

2) Expected number of 200 restaurants in which exactly 8 customers use the drive-through: 20.66

Expected number of 200 restaurants in which exactly 9 customers use the drive-through: 13.76

Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

In which

x is the number of sucesses

e = 2.71828 is the Euler number

\mu is the mean in the given time interval.

Question 1. Use the Poisson distribution to calculate the probability that exactly 8 cars will use the drive-through between 12:00 midnight and 12:30 AM on a Saturday night at Wendy's. Do the same for exactly 9 cars.

Cars arrive at the Wendy's drive-through at a rate of 1 car every 5 minutes between the hours of 11:00 PM and 1:00 AM. on Saturday nights. This means that during 30 minutes, 6 cars expected to arrive. So \mu = 6.

P(X = 8)

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

P(X = 8) = \frac{e^{-6}*(6)^{8}}{(8)!} = 0.1033

P(X = 9)

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

P(X = 9) = \frac{e^{-6}*(6)^{9}}{(9)!} = 0.0688

Question 2. At how many of the 200 restaurants in the survey would you expect exactly 8 customers to use the drive-through? exactly 9 customers?

There is a 10.33 probability that 8 customers would use the drive through for each restaurant.

So of 200, the expected number is

E(X) = 200*0.1033 = 20.66

There is a 6.88 probability that 9 customers would use the drive through for each restaurant.

So of 200, the expected number is

E(X) = 200*0.0688 = 13.76

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