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Diano4ka-milaya [45]
3 years ago
7

The perimeter of a rectangle is 16 feet. Find its width if its length is 5 feet.

Mathematics
1 answer:
tiny-mole [99]3 years ago
4 0

Answer:

3 ft

Step-by-step explanation:

l = 5 ft

p = 16 ft

Using the formula

P=2(l+w)

solving for w

w = p/2 - l = 16/2-5=3ft

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WILL GIVE BRAINEST <br><br>Let f(x)=7x-4<br><br>what is f(6)<br><br>a.48<br>b.42<br>c.38<br>d.46
Sever21 [200]
F(6) = 7(6) - 4

f(6) = 42 - 4

f(6) = 38

Hope this helps!
4 0
3 years ago
The mean annual income for people in a certain city is 37 thousand dollars, with a standard deviation of 28 thousand dollars. A
Aloiza [94]

Answer:

P( 31 < \bar X< 41)

And we can ue the z score formula given by:

z= \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And using this formula we got for the limits:

z = \frac{31-37}{\frac{28}{\sqrt{50}}}= -1.515

z = \frac{41-37}{\frac{28}{\sqrt{50}}}= 1.01

So we want to find this probability:

P(-1.515

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 Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the annual income of a population, and for this case we know the following info:

\mu=37 and \sigma=28  and we are omitting the zeros from the thousand to simplify calculations

We select a sample size of n=50>30.

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".

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 we want to find this probability:

P( 31 < \bar X< 41)

And we can ue the z score formula given by:

z= \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And using this formula we got for the limits:

z = \frac{31-37}{\frac{28}{\sqrt{50}}}= -1.515

z = \frac{41-37}{\frac{28}{\sqrt{50}}}= 1.01

So we want to find this probability:

P(-1.515

4 0
3 years ago
Rachel's house sold for $180,000. Her real estate agent received a commission of $10,800. What percentage did her real estate ag
Vikki [24]

16.6 repeating it the answer

5 0
4 years ago
Read 2 more answers
Is this right? i’m not sure
mixas84 [53]
My only issue is that it says numbers between. It does not say including. Therefore, I think you want to use > and < instead of the ones with equals signs attached. 
4 0
3 years ago
Find the measures of two angles, one positive and one negative, that are coterminal with pi divided by four.
Korvikt [17]
\frac{ \pi }is the 45 degree angle. the whole circle is 2π. so the positive angle is π/4+2π =\frac{9 \pi }{4}
 the the negative angle is -(2π-π/4)= -\frac{7 \pi }{4}  
7 0
3 years ago
Read 2 more answers
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