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2 years ago

In quadrilateral CLAP, angle p is a right angle, LA = CP, and CL = AP. This information can be used to prove that CLAP is a

Mathematics

1 answer:

mafiozo [28]2 years ago

7 0

I think is C im not sure tho
I Hope this helps!

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If you divide 3,180 and 4 what would the answer be?

rodikova [14]

3,180 divided by 4 = 795!

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3 years ago

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The probability of Sandy flipping a coin twice and getting heads both times is 0.25. The probability of John's spinner stopping

Ede4ka [16]

0.25 and 1/4 are the same number.

If each one is the probability of some event,
then both events are equally likely.

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3 years ago

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Sydawna has two part-time jobs. Her earnings for one week are represented by the equation: E = 9.25g + 10.50t

Iteru [2.4K]

Answer:

9 hours

Step-by-step explanation:

<u>Given the equation: </u>

E = 9.25g + 10.50t

E - weekly total, g- number of hours at gas station, t- number of hours at toy store.

<u>Substitute given values into equation and solve for the missing one:</u>

219.75 = 9.25g + 10.5*13
219.75 = 9.25g + 136.5
9.25g = 219.75 - 136.5
9.25g = 83.25
g = 83.25/9.25
g = 9

Sydawna works 9 hours at the gas station

4 0

2 years ago

A bag contains 10 marbles. Four of them are red, three blue, two white and one yellow. A marble is drawn at random. What is the

ozzi

Probability =
(number of different successful results) / (number of all possible results) .

Number of marbles that are not blue = 7
Number of marbles in the bag = 10
Probability that one marble drawn at random is not blue = 7/10 = 70% .

7 0

2 years ago

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The arrival of the city busses that trundle down my street is Poisson distributed. According to the published schedule, they arr

joja [24]

Answer:

There is a 3.33% probability that exactly two such busses arrive within 3 minutes of each other.

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.

What is the probability that exactly two such busses arrive within 3 minutes of each other

The mean is one bus each 10 minutes. So for 3 minutes, the mean is 3/10 = 0.3 buses. So we use $\mu = 0.3$

This probability is P(X = 2).

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

$P(X = 2) = \frac{e^{-0.3}*(0.3)^{2}}{(2)!} = 0.0333$

There is a 3.33% probability that exactly two such busses arrive within 3 minutes of each other.

5 0

2 years ago