Area= 18yd squared, length= 6yd<br> width=

For any integers x and y ,|x+y|=|x|+|y| Ture or False

Nutka1998 [239]

Answer:

yes because |x+y|=|x|+|y| is just the same equation just splitting the numbers

They both are the same absolute value equation

Step-by-step explanation:

|x+y|=|x|+|y|

x+y=|x|+|y|

x+y=x+y

7 0

3 years ago

Really struggling with this, can someone please help me out and give me a brief explanation? Id greatly appreciate it.

dsp73

Answer:

jjjjjjjjjjjjjjjjjjjjj

Step-by-step explanation:

7 0

3 years ago

16.72911 liters rounded to the nearest whole is<br> liters

aliya0001 [1]

17 is the answer

(Mark me brainliest)

5 0

3 years ago

Bones Brothers & Associates prepare individual tax returns. Over prior years, Bones Brothers have maintained careful records

madreJ [45]

Answer:

For this case we have the following info related to the time to prepare a return

$\mu =90 , \sigma =14$

And we select a sample size =49>30 and we are interested in determine the standard deviation for the sample mean. From the central limit theorem we know that the distribution for the sample mean $\bar X$ is given by:

$\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})$

And the standard deviation would be:

$\sigma_{\bar X} =\frac{14}{\sqrt{49}}= 2$

And the best answer would be

b. 2 minutes

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

Solution to the problem

For this case we have the following info related to the time to prepare a return

$\mu =90 , \sigma =14$

And we select a sample size =49>30 and we are interested in determine the standard deviation for the sample mean. From the central limit theorem we know that the distribution for the sample mean $\bar X$ is given by:

$\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})$

And the standard deviation would be:

$\sigma_{\bar X} =\frac{14}{\sqrt{49}}= 2$

And the best answer would be

b. 2 minutes

3 0

3 years ago

A computer processes information in nanoseconds. A nanosecond is one-billionth of a second. Write this number as a decimal.

Archy [21]

Answer:

0.000000001

Step-by-step explanation:

Let's convert this :

0.000000001

tHT M B

t=tenths

H=Hundredths

T=Thousandths

M=millionths

B=Billionths

7 0

1 year ago

Area= 18yd squared, length= 6yd width=