All categories

3 years ago

What is the square root of 517?

2 answers:

7 0

$\sqrt{517}=22.737634$

517 is a prime number, and therefore there is the square root of the number that can be represented as a fraction or whole number.
At approximately the square root of 517 to 22.7.

Korolek [52]3 years ago

4 0

square root of 517 = 22.7376

You might be interested in

If you answer the question correctly I will give you brainliest

wel

Answer:

x=21

Step-by-step explanation:

4 0

3 years ago

Read 2 more answers

Someone help me with maths questions pls about pythagoras, ill give u brainliest

Marat540 [252]

Answer:

11.183 cm and 22.366 cm

Step-by-step explanation:

Lets call the 25 cm hypotenuse C and the other sides A and B.

B=2A

The Pythagorean theorem states that C^2=A^2+B^2 so:

25^2=A^2+B^2

substitute for B

25^2=A^2+(2A)^2

625=A^2+4A^2

625=5A^2

125=A^2

A=11.183 cm

B=22.366 cm

6 0

3 years ago

Polk elementary school has three classes for each grade level kindergarten through fifth grade if there is an average of 27 stud

olga2289 [7]

So there are 6 different grade levels with 3 classes in each. So 6*3 = 18 classes total.

If there are approximately 27 children in each class, than 27*18 = ? your answer.

4 0

4 years ago

(Ill give brainliest)

Anna007 [38]

Answer:

522

Step-by-step explanation:

3 0

3 years ago

A random sample of n = 9 structural elements is tested for comprehensive strength. We know the true mean comprehensive strength

irinina [24]

Answer:

Probability that the sample mean comprehensive strength exceeds 4985 psi is 0.99999.

Step-by-step explanation:

We are given that a random sample of n = 9 structural elements is tested for comprehensive strength. We know the true mean comprehensive strength μ = 5500 psi and the standard deviation is σ = 100 psi.

Let $\bar X$ = sample mean comprehensive strength

The z-score probability distribution for sample mean is given by;

Z = $\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } }$ ~ N(0,1)

where, $\mu$ = population mean comprehensive strength = 5500 psi

$\sigma$ = standard deviation = 100 psi

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

Now, Probability that the sample mean comprehensive strength exceeds 4985 psi is given by = P( $\bar X$ > 4985 psi)

P( $\bar X$ > 4985 psi) = P( $\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } }$ > $\frac{4985-5500}{\frac{100}{\sqrt{9} } }$ ) = P(Z > -15.45) = P(Z < 15.45)

= 0.99999

Since in the z table the highest critical value of x for which a probability area is given is x = 4.40 which is 0.99999, so we assume that our required probability will be equal to 0.99999.

4 0

4 years ago