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3 years ago

I am not sure on how to do #5

Mathematics

1 answer:

statuscvo [17]3 years ago

5 0

It is too blurry to read please correct me if this is wrong question
a =17,a =3 is that what the question says?
x-1 ,-1

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Whats -5/6 divided by 3/10

enyata [817]

Answer:

-25/9

Step-by-step explanation:

-5/6 : 3/10

-->(cross multibly)

=-5 *10 : 6*3

=-50/ 18

=-25/9

6 0

3 years ago

The driver of a car traveling at 54ft/sec suddenly applies the brakes. The position of the car is s=54t-3t^2, t seconds afyer th

castortr0y [4]

<span>s = 60t - 3t^2
v = ds/dt = 60 - 6t

when it comes to rest, v = 0,
so t = 10 sec

now distance travelled = time taken x average velocity
= 10 x (60 + 0)/2
= 300 ft

</span>

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3 years ago

Solve the following system of equations by substitution. <br> 2x - y = 6<br> x + y = 6

m_a_m_a [10]

y=-x+6

2x-(-x+6)=6

3x=12

x=4

4+y=6

y=2

5 0

3 years ago

Read 2 more answers

Which inequality is represented by this graph?

erastovalidia [21]

Answer:the last one I’m not really sure

8 0

3 years ago

Flow meters are installed in urban sewer systems to measure the flows through the pipes. In dry weatherconditions (no rain) the

ziro4ka [17]

Answer:

a) $\frac{(8)(30.23)^2}{20.09} \leq \sigma^2 \leq \frac{(8)(30.23)^2}{1.65}$

$363.90 \leq \sigma^2 \leq 4430.80$

Now we just take square root on both sides of the interval and we got:

$19.08 \leq \sigma \leq 66.56$

b) For this case we are 98% confidence that the true deviation for the population of interest is between 19.08 and 66.56

Step-by-step explanation:

423.6, 487.3, 453.2, 402.9, 483.0, 477.7, 442.3, 418.4, 459.0

Part a

The confidence interval for the population variance is given by the following formula:

$\frac{(n-1)s^2}{\chi^2_{\alpha/2}} \leq \sigma^2 \leq \frac{(n-1)s^2}{\chi^2_{1-\alpha/2}}$

On this case we need to find the sample standard deviation with the following formula:

$s=sqrt{\frac{\sum_{i=1}^8 (x_i -\bar x)^2}{n-1}}
And in order to find the sample mean we just need to use this formula:
[tex]\bar x =\frac{\sum_{i=1}^n x_i}{n}$