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larisa86 [58]
3 years ago
10

Helium is pumped into a spherical balloon at a rate of 3 cubic feet per second. How fast is the radius increasing after 2 minute

s? Note: The volume of a sphere is given by V=43πr3V=43πr3. Rate of change of radius (in feet per second) =
Mathematics
1 answer:
Arisa [49]3 years ago
8 0

Answer:

The rate of change of radius is 0.0530 ft/sec.

Step-by-step explanation:

Given : Helium is pumped into a spherical balloon at a rate of 3 cubic feet per second.

To find : How fast is the radius increasing after 2 minutes?

Solution :

The volume of the sphere is V=\frac{4}{3}\pi r^3

Differentiating w.r.t. r,

\frac{dV}{dr}=4\pi r^2

We have given, Helium is pumped into a spherical balloon at a rate of 3 cubic feet per second.

i.e. \frac{dV}{dt}=3

Integrate w.r.t. t,

V=3t+C

Assuming V=0 when  t=0 then C=0

So, \frac{4}{3}\pi r^3=3t

r^3=\frac{t}{4\pi}

r=\sqrt[3]{\frac{t}{4\pi}}

Now, we apply chain rule

i.e.  \frac{dV}{dt}=\frac{dV}{dr}\cdot \frac{dr}{dt}

3=4\pi(\frac{t}{4\pi})^{\frac{2}{3}}\cdot \frac{dr}{dt}

The radius increasing after 2 minutes i.e. at t=2\times 60=120

3=4\pi(\frac{120}{4\pi})^{\frac{2}{3}})\cdot \frac{dr}{dt}

3=56.56\cdot \frac{dr}{dt}

\frac{dr}{dt}=\frac{3}{56.56}

\frac{dr}{dt}=0.0530

Therefore, the rate of change of radius is 0.0530 ft/sec.

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The viscosity of a liquid detergent is supposed to average 800 centistokes at 25° C. A random sample of 16 batches of detergent
meriva

Answer:

a) Null hypothesis:\mu = 800        

Alternative hypothesis:\mu \neq 800  

b) z=\frac{812-800}{\frac{25}{\sqrt{16}}}=1.92    

c) p_v =2*P(z>1.92)=0.0548    

If we compare the p value and the significance level given \alpha=0.05 we see that p_v>\alpha so we can conclude that we FAIL to reject the null hypothesis, and the the actual mean is not different from the value of 800.

d) 812- 1.96 \frac{25}{\sqrt{16}}=799.75

812+ 1.96 \frac{25}{\sqrt{16}}=824.25

Since the confidence interval contains the value 800 this result agrees with the result obtained in the hypothesis test we fail to reject the null hypothesis that the true mean is 800

Step-by-step explanation:

Data given and notation        

\bar X=812 represent the mean for the sample    

\sigma=25 represent the standard deviation for the population      

n=16 sample size        

\mu_o =800 represent the value that we want to test      

\alpha represent the significance level for the hypothesis test.      

z would represent the statistic (variable of interest)        

p_v represent the p value for the test (variable of interest)    

a) State the null and alternative hypotheses.        

We need to conduct a hypothesis in order to determine if the true mean is different from 800 centistokes:      

Null hypothesis:\mu = 800        

Alternative hypothesis:\mu \neq 800        

We know the population deviation, so for this case is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:        

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}} (1)        

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".    

b) Calculate the statistic        

We can replace in formula (1) the info given like this:        

z=\frac{812-800}{\frac{25}{\sqrt{16}}}=1.92        

c) Calculate the P-value        

Since is a two tailed test the p value would be:        

p_v =2*P(z>1.92)=0.0548    

Conclusion        

If we compare the p value and the significance level given \alpha=0.05 we see that p_v>\alpha so we can conclude that we FAIL to reject the null hypothesis, and the the actual mean is not different from the value of 800.

d) Confidence interval

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

\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}   (1)  

For the 95% confidence interval the value of \alpha=1-0.95=0.05 and \alpha/2=0.025, with that value we can find the quantile required for the interval in the normal standard distribution.

z_{\alpha/2}=1.96

And replacing we got:

812- 1.96 \frac{25}{\sqrt{16}}=799.75

812+ 1.96 \frac{25}{\sqrt{16}}=824.25

Since the confidence interval contains the value 800 this result agrees with the result obtained in the hypothesis test we fail to reject the null hypothesis that the true mean is 800

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