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3 years ago

Pleaseeeee hellppppp!!!

Mathematics

1 answer:

DerKrebs [107]3 years ago

5 0

a = 42 cups

b = 11 cups

Step-by-step explanation:

A) V = pi x r^2 x h

V = pi x (4/2)^2 x 8

V = pi x 2^2 x 8

V = pi x 4 x 8

V = 32pi (this is the volume of the cup)

To find the number of cups needed to scoop out all of the water in the sink, you have to use this equation: (sink volume)/(cup volume)

(4000/3 x pi)/(32pi)

the pi's cancel out

(4000/3)/32

41.6667 cups

But the problem said to round up, so it's 42 cups.

B) V = pi x r^2 x h

V = pi x (8/2)^2 x 8

V = pi x 4^2 x 8

V = pi x 16 x 8

V = 128pi (this is the volume of the cup)

To find the number of cups needed to scoop out all of the water in the sink, you have to use this equation: (sink volume)/(cup volume)

(4000/3 x pi)/(128pi)

the pi's cancel out

(4000/3)/128

10.41667 cups

But the problem said to round up, so it's 11 cups.

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o-na [289]

Answer:

a) $n=\frac{0.5(1-0.5)}{(\frac{0.02}{1.96})^2}=2401$

And rounded up we have that n=2401

b) $n=\frac{0.07(1-0.07)}{(\frac{0.02}{1.96})^2}=625.22$

And rounded up we have that n=626

And we see that if we have previous info about p the sample size varies a lot.

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

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".

Solution to the problem

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by $\alpha=1-0.95=0.05$ and $\alpha/2 =0.025$ . And the critical value would be given by:

$z_{\alpha/2}=-1.96, z_{1-\alpha/2}=1.96$

Part a

The margin of error for the proportion interval is given by this formula:

$ME=z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}$ (a)

And on this case we have that $ME =\pm 0.02$ and we are interested in order to find the value of n, if we solve n from equation (a) we got:

$n=\frac{\hat p (1-\hat p)}{(\frac{ME}{z})^2}$ (b)

Since we don't have prior information about the population proportion we can use ase estimator $\hat p =0.5$ . And replacing into equation (b) the values from part a we got: