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castortr0y [4]
3 years ago
14

The product of 57 lies between which two whole numbers?

Mathematics
2 answers:
dedylja [7]3 years ago
7 0
I think it lies between 56 and 58
Zanzabum3 years ago
5 0
It lies between the numbers 7 & 8
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IF NR = 8 ft, what is the length of arc NMP. Round to the nearest tenth.
Pavlova-9 [17]

Check the picture below.

since chords NQ and MP cross the center of the circle at R, that means that those two chords are diametrical chords and the angles made by both are vertical angles and thus twin angles, namely both are 18° as you see in the picture, so the angle NMP in magenta is really 162° + 18° + 18° = 198°, and we know the radius NR is 8.

\textit{arc's length}\\\\ s=\cfrac{r\pi \theta }{180}~~ \begin{cases} r=radius\\ \theta =\stackrel{degrees}{angle}\\[-0.5em] \hrulefill\\ r=8\\ \theta =198 \end{cases}\implies s=\cfrac{(8)\pi (198)}{180}\implies s\approx 27.6

4 0
2 years ago
Work out the length of CD <br> Answer to 3 significant figures
vladimir1956 [14]

Answer:

26

Step-by-step explanation:

I can  be wrong but i most likely sure it is correct because a triangle is 180 degrees you have to add 102 with 52 take that total and subtract it with 180 to find that angle is what you need to find the length. Again i am not sure but might be right.

5 0
3 years ago
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I need help with this question, I will give brainliest
PolarNik [594]

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3

Step-by-step explanation:

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Let the probability of success on a Bernoulli trial be 0.26. a. In five Bernoulli trials, what is the probability that there wil
andreyandreev [35.5K]

Answer:

0.3898 = 38.98% probability that there will be 4 failures

Step-by-step explanation:

A sequence of Bernoulli trials forms the binomial probability distribution.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

Let the probability of success on a Bernoulli trial be 0.26.

This means that p = 0.26

a. In five Bernoulli trials, what is the probability that there will be 4 failures?

Five trials means that n = 5

4 failures, so 1 success, and we have to find P(X = 1).

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 1) = C_{5,1}.(0.26)^{1}.(0.74)^{4} = 0.3898

0.3898 = 38.98% probability that there will be 4 failures

4 0
3 years ago
Expression that is equivalent to 27e+24
Goryan [66]

Answer:

3(9e + 8)

Step-by-step explanation:

the highest common factor is 3 so factor it out.

3 0
2 years ago
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