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SVEN [57.7K]
3 years ago
5

A car can travel 120km ik 2 hours How long will it take the car to travel 300km

Mathematics
2 answers:
faust18 [17]3 years ago
5 0
First divide 120\2=60
So 300/60=5
So it will take 5hours
ehidna [41]3 years ago
3 0
It would take the car 5 hours to travel 300km.

Equation used to solve: (120÷2)×6
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Julia drinks 16 cups of water per day. How many quart(s) of water does she drink per day?
ivann1987 [24]
4 cups are in a quart. Therefore you must use divide the amount of cups by 4 to get an amount of quarts. therefore you have 4 quarts.
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HELP ME PLEASE!!<br> is y=2x^2 - 4 linear or non linear
OleMash [197]

Answer:

non-linear

Step-by-step explanation:

Linear functions can only have powers of 1 for the x and y terms and the terms must not be multiplied.

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3 years ago
Please help I have 15 minutes!!!!!!!
DedPeter [7]

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NO WAIT NO IGNORE MY PREVIOUS ANSWER

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3 years ago
The number of people arriving at a ballpark is random, with a Poisson distributed arrival. If the mean number of arrivals is 10,
Stella [2.4K]

Answer:

a) 3.47% probability that there will be exactly 15 arrivals.

b) 58.31% probability that there are no more than 10 arrivals.

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.

If the mean number of arrivals is 10

This means that \mu = 10

(a) that there will be exactly 15 arrivals?

This is P(X = 15). So

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

P(X = 15) = \frac{e^{-10}*(10)^{15}}{(15)!} = 0.0347

3.47% probability that there will be exactly 15 arrivals.

(b) no more than 10 arrivals?

This is P(X \leq 10)

P(X \leq 10) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5) + P(X = 6) + P(X = 7) + P(X = 8) + P(X = 9) + P(X = 10)

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

P(X = 0) = \frac{e^{-10}*(10)^{0}}{(0)!} = 0.000045

P(X = 1) = \frac{e^{-10}*(10)^{1}}{(1)!} = 0.00045

P(X = 2) = \frac{e^{-10}*(10)^{2}}{(2)!} = 0.0023

P(X = 3) = \frac{e^{-10}*(10)^{3}}{(3)!} = 0.0076

P(X = 4) = \frac{e^{-10}*(10)^{4}}{(4)!} = 0.0189

P(X = 5) = \frac{e^{-10}*(10)^{5}}{(5)!} = 0.0378

P(X = 6) = \frac{e^{-10}*(10)^{6}}{(6)!} = 0.0631

P(X = 7) = \frac{e^{-10}*(10)^{7}}{(7)!} = 0.0901

P(X = 8) = \frac{e^{-10}*(10)^{8}}{(8)!} = 0.1126

P(X = 9) = \frac{e^{-10}*(10)^{9}}{(9)!} = 0.1251

P(X = 10) = \frac{e^{-10}*(10)^{10}}{(10)!} = 0.1251

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58.31% probability that there are no more than 10 arrivals.

8 0
3 years ago
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nikdorinn [45]

Answer:

You cannot divide first because in equations you need to isolate the variable, which means subtracting first. The outcome will be different if you change the order.

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