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zlopas [31]
3 years ago
15

Which street is parallel to 1st Ave?

Mathematics
1 answer:
mestny [16]3 years ago
6 0

Answer:

i believe its the second ave

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Solve using elimination<br><br> 2x+5y=34<br> x+2y=14
Darina [25.2K]

2x + 5y = 34

x+2y = 14


Multiply the second equation by two to create like terms for one variable.

2(x+2y = 14)

2x + 4y = 28


2x + 5y = 34

2x + 4y = 28 -- Subtract.


y = 34.28 = 6


Solve for x


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Check:

2 + 2(6) = 14

2 + 12 = 14

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8 0
4 years ago
TV advertising agencies face increasing challenges in reaching audience members because viewing TV programs via digital streamin
IRINA_888 [86]

Answer:

a)

[0.5235, 0.5765]

To interpret this result, we could say there is a 99% of probability that the proportion  of  American adults who have watched digitally streamed TV programming on some type of device is between 52.35% and 57.65%

b) 1,843 American adults

Step-by-step explanation:

The 99% confidence interval is given by  

\bf p\pm z^*\sqrt{p(1-p)/n}

where  

<em>p = the proportion of American adults surveyed who said they have watched digitally streamed TV programming on some type of device = 55% = 0.55</em>

<em>\bf z^* the z-score for a 99% confidence level associated with the Normal distribution N(0,1). We can do this given that the sample size (2,341) is big enough</em>

<em>n = sample size = 2,341</em>

We can find the \bf z^* value either with a table or with a spreadsheet.

In Excel use NORM.INV(0.995,0,1)

In OpenOffice Calc use NORMINV(0.995;0;1)

We get a value of \bf z*= 2.576

and our 99% confidence interval is

\bf 0.55\pm 2.576\sqrt{0.55*0.45/2341}=0.55\pm 2.576*0.0103=0.55\pm 0.265 = [0.5235, 0.5765]

<em>To interpret this result, we could say there is a 99% of probability that the proportion  of  American adults who have watched digitally streamed TV programming on some type of device is between 52.35% and 57.65%</em>

We are 99% confident that this interval contains the true population proportion.

(b) What sample size would be required for the width of a 99% CI to be at most 0.03 irrespective of the value of p?? (Round your answer up to the nearest integer.)

The sample size n in a simple random sampling is given by

\bf n=\frac{(z^*)^2p(1-p)}{e^2}

where  

<em>e is the error proportion = 0.03</em>

hence

\bf n=\frac{(2.576)^2p(1-p)}{(0.03)^2}=7373.0844p(1-p)=7373.0844p-7373.044p^2

taking the derivative with respect to p, we get

n'(p)=7373.0844-2*7373.0844p

and  

n'(p) = 0 when p=0.5

By taking the second derivative we see n''(p)<0, so p=0.5 is a maximum of n

This means that if we set p=0.5, we get the maximum sample size for the confidence level required for the proportion error 0.03

Replacing p with 0.5 in the formula for the sample size we get

\bf n=7373.0844*0.5-7373.044(0.5)^2=1,844

rounded up to the nearest integer.

6 0
4 years ago
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