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Romashka-Z-Leto [24]
3 years ago
7

I need assistanceeeee

Mathematics
1 answer:
Sonbull [250]3 years ago
4 0

Answer:

I believe it would 24..

Step-by-step explanation:

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What other information is needed to prove that Triangle CEB is congruent to Triangle AED by SAS congruence theorem?
Westkost [7]

Answer:

C

Step-by-step explanation:

Im pretty sure, but double check

3 0
3 years ago
To avoid modeling the physical characteristics of wheel encoders such the square wave outputs, it is desirable to generate encod
grandymaker [24]

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The probability distribution is  Normal continuous

Step-by-step explanation:

The basic idea is that velocity values have different noise level and an important thing regarding continuous probability distributions is that the probability of the random variable is equal to a specific outcome is 0

In other words, is practically impossible that one value of velocity could be the same as others.

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3 years ago
Which polynomial function has a leading coefficient of 2, root 4 with multiplicity 3, and root 10 with multiplicity 1?
serious [3.7K]

Answer:

Step-by-step explanation:

Yes

8 0
2 years ago
a statistics professor finds that when he schedules an office hour at the 10:30a, time slot, an average of three students arrive
Veseljchak [2.6K]

Answer:

The probability that in a randomly selected office hour in the 10:30 am time slot exactly two students will arrive is 0.2241.

Step-by-step explanation:

Let <em>X</em> = number of students arriving at the 10:30 AM time slot.

The average number of students arriving at the 10:30 AM time slot is, <em>λ</em> = 3.

A random variable representing the occurrence of events in a fixed interval of time is known as Poisson random variables. For example, the number of customers visiting the bank in an hour or the number of typographical error is a book every 10 pages.

The random variable <em>X</em> is also a Poisson random variable because it represents the fixed number of students arriving at the 10:30 AM time slot.

The random variable <em>X</em> follows a Poisson distribution with parameter <em>λ</em> = 3.

The probability mass function of <em>X</em> is given by:

P(X=x)=\frac{e^{-\lambda}\lambda^{x}}{x!};\ x=0,1,2,3...,\ \lambda>0

Compute the probability of <em>X</em> = 2 as follows:

P(X=2)=\frac{e^{-3}3^{2}}{2!}=\frac{0.0498\times 9}{2}=0.2241

Thus, the probability that in a randomly selected office hour in the 10:30 am time slot exactly two students will arrive is 0.2241.

6 0
3 years ago
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It would be 3/19. Cause you add all and that would be denom.
4 0
3 years ago
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