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katrin2010 [14]
2 years ago
11

Pls help first correct answer gets brainleist ​

Mathematics
1 answer:
alex41 [277]2 years ago
7 0

Answer:

80

Step-by-step explanation:

check attached picture

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The definition of theorem? <br>​
charle [14.2K]

Answer:

In mathematics, a theorem is a non-self-evident statement that has been proven to be true, either on the basis of generally accepted statements such as axioms or on the basis of previously established statements such as other theorems. A theorem is hence a logical consequence of the axioms, with a proof of the theorem being a logical argument which establishes its truth through the inference rules of a deductive system. As a result, the proof of a theorem is often interpreted as justification of the truth of the theorem statement. In light of the requirement that theorems be proved, the concept of a theorem is fundamentally deductive, in contrast to the notion of a scientific law, which is experimental.

Step-by-step explanation:

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PLEASE HELP!! Sue and Cat have $20 for an Uber ride home. It costs $3.00 per mile plus a $2 fixed charge. What is the maximum nu
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6miles

Step-by-step explanation

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I NEED HELP PLEASE VERY QUICKLY<br> WITH WORK SHOWN
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Angles 1 and 3 are the answers
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3 years ago
4t- 2=14 what is t<br> Could you please show your work
miskamm [114]

Answer:

your answer is 4 = t

Step-by-step explanation:

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6 0
2 years ago
Read 2 more answers
At an outpatient mental health clinic, appointment cancellations occur at a mean rate of 1.5 per day on a typical Wednesday. Let
Kamila [148]

Answer:

a) Cancellations are independent and similar to arrivals.

b) 22.31% probability that no cancellations will occur on a particular Wednesday

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.

Mean rate of 1.5 per day on a typical Wednesday.

This means that \mu = 1.5

(a) Justify the use of the Poisson model.

Each wednesday is independent of each other, and each wednesday has the same mean number of cancellations.

So the answer is:

Cancellations are independent and similar to arrivals.

(b) What is the probability that no cancellations will occur on a particular Wednesday

This is P(X = 0).

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

P(X = 0) = \frac{e^{-1.5}*(1.5)^{0}}{(0)!} = 0.2231

22.31% probability that no cancellations will occur on a particular Wednesday

5 0
3 years ago
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