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Harman [31]
3 years ago
7

Write an expression that is equivalent to the following: x+x+x+x-20

Mathematics
2 answers:
SSSSS [86.1K]3 years ago
8 0

Answer:

4x-20 is the same as x+x+x+x-20

erastovalidia [21]3 years ago
4 0
Find the other numbers which are the x till you fin what gets you 20
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What is the volume inside a cylinder 10ft radius 6 ft height
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1884.956ft³

Step-by-step explanation:

volume = \pi {r}^{2} h \\  = \pi \times  {10ft}^{2}   \times 6ft \\  = 600\pi {ft}^{3} \\  = 1884.956 {ft}^{3}

Please rate brainliest

6 0
2 years ago
I need help plsssssss​
Svetllana [295]

4)Area :32cm

5)18cm

6) 49cm

4 0
3 years ago
Mrs. Thompson wants to buy centerpieces to use at a party. It will cost $49 to have the centerpieces delivered plus $0.89 per ce
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Answer:

Step-by-step explanation:

So part a is D because,You take the amount per centerpiece multiply it by the amount and add the shipping.

She would pay:$405 total!

Thanks see you soon!

3 0
3 years ago
Guys help please again
Svetradugi [14.3K]

Answer:

I would choose B but I'm not sure.

Step-by-step explanation:


3 0
4 years ago
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the mean life of a la
Illusion [34]

Answer:

a) Since the p value is higher than the significance level we have enough evidence to FAIL to reject the null hypothesis and we can conclude that the true mean is not significantly different from 7539

b) t=\frac{7359-7539}{\frac{840}{\sqrt{49}}}=-1.5    

The degrees of freedom are given by:

df=n-1=49-1=48  

The p value is given by:

p_v =P(t_{(48)}  

c) 7359-2.01\frac{840}{\sqrt{49}}=7117.8    

7359+2.01\frac{840}{\sqrt{49}}=7600.2    

d) For this case since the confidence interval contains the value of 7539 we don't have enough evidence to reject the null hypothesis at the significance level given of 5%. same conclusion using the hypothesis test and with the confidence interval

Step-by-step explanation:

Part a and b

Data given

\bar X=7359 represent the sample mean

\sigma=840 represent the population standard deviation

n=49 sample size  

\mu_o =7539 represent the value to test

t would represent the statistic  

p_v represent the p value

Hypothesis to verify

We want to verify if the mean life is different from 7539 hours, the system of hypothesis would be:  

Null hypothesis:\mu \geq 7539  

Alternative hypothesis:\mu < 7539  

The statistic for this case would be given by:

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

Replacing the info given we got:

t=\frac{7359-7539}{\frac{840}{\sqrt{49}}}=-1.5    

The degrees of freedom are given by:

df=n-1=49-1=48  

The p value is given by:

p_v =P(t_{(48)}  

Since the p value is higher than the significance level we have enough evidence to FAIL to reject the null hypothesis and we can conclude that the true mean is not significantly different from 7539

Part c

The confidence interval for the mean is given by the following formula:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

We can find the critical value using the confidence level given of 95% and using the t distribution with 48 degrees of freedom we got t_{\alpha/2}=\pm 2.01

Now we have everything in order to replace into formula (1):

7359-2.01\frac{840}{\sqrt{49}}=7117.8    

7359+2.01\frac{840}{\sqrt{49}}=7600.2    

Part d

For this case since the confidence interval contains the value of 7539 we don't have enough evidence to reject the null hypothesis at the significance level given of 5%. same conclusion using the hypothesis test and with the confidence interval

3 0
3 years ago
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