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Kobotan [32]
3 years ago
5

Simplify the square root of -121?

Mathematics
2 answers:
poizon [28]3 years ago
8 0

Answer:

11<em>i</em>

Step-by-step explanation:

first you have to get a postive root.

\sqrt{-121} \\ \sqrt{-1}  \sqrt{121} \\

then you solve the square roots from there, keeping in mind the imaginary number answer to the square root of -1, <em>i</em>.

\sqrt{-1} = i\\ \sqrt{121} =11\\ 11i

SCORPION-xisa [38]3 years ago
4 0
The answer to this question in 24 I think I’m not for sure
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214512154515454521545*4515546254-28452548554/515252845262-28482+284825425784541=5485152x+465555595656
Assoli18 [71]

Answer: hay im back

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
Solve the equation 3(x - 7) = 42
Effectus [21]

Answer:

x=21.

Step-by-step explanation:

First you distribute 3 to the parenthesis. You should get 3x-21=42 at this point. Then you add 21 to 42 to get 63. Here you should be at 3x=63. Divide 63 by 3 to get x=3

6 0
3 years ago
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Two ropes, AD and BD, are tied to a peg on the ground at point D. The other ends of the ropes are tied to points A and B on a fl
mojhsa [17]

Answer: i divided AD And the answer is BDC

Step-by-step explanation:

7 0
3 years ago
Given A(-2, 5) and B(13, -7), find the midpoint of AB.​
Dmitrij [34]

Answer:

The mid-point is (9,-9/2)

Step-by-step explanation:

You would use the mid-point formula for this

(\frac{x_{2} +x_{1} }{2} , \frac{y_{2}+y_{1}  }{2} )

if you plug that in it is (\frac{13-2}{2}, \frac{-7+5}{2})

resulting in (11/2,-2/2) = (11/2,-1)

4 0
2 years ago
In a given year, the average annual salary of a NFL football player was $189,000 with a standard deviation of $20,500. If a samp
nika2105 [10]

Answer:

15.15% probability that the sample mean will be $192,000 or more.

Step-by-step explanation:

To solve this problem, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value 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. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 189000, \sigma = 20500, n = 50, s = \frac{20500}{\sqrt{50}} = 2899.14

The probability that the sample mean will be $192,000 or more is

This is 1 subtracted by the pvalue of z when X = 192000. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{192000 - 189000}{2899.14}

Z = 1.03

Z = 1.03 has a pvalue of 0.8485.

1-0.8485 = 0.1515

15.15% probability that the sample mean will be $192,000 or more.

7 0
3 years ago
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