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Sever21 [200]
3 years ago
7

The marked price of a tablet is €800. During a sale its sold at €640. This means one saves €160 during the sale

Mathematics
1 answer:
ArbitrLikvidat [17]3 years ago
3 0

Answer:

c. $28.84

Step-by-step explanation:

C 28.84 just multiply 38.45 by .25 then you should get 9.6125 you subtract 38.45 by 9.6125 and get 28.84

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What does 9e+10 mean on a calculator screen
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It means that the number of your answer is too big for the screen. You may want to see if you can work the problem out on paper if you need the numbers it isnt showing you. Just make sure your answer matches the answer you got on the calculator. Minus, of course, the numbers it does not show.
6 0
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In the last two weeks of a sale, prices are reduced first by 30% and then by a further 40% of the new price . What is the final
Mandarinka [93]
15 x .30 = 4.50 discount     15-4.50= 10.50
10.50 x .40 = 4.20

Final cost of shirt  10.50-4.20 =  $6.30
5 0
3 years ago
Simplify the expression below.<br> 2x – 4y + 6 + 3x – 9y – 4
Dmitrij [34]

Answer:

5x - 13y + 2

Step-by-step explanation:

Given: 2x – 4y + 6 + 3x – 9y – 4

Combine all like terms:

5x - 13y + 2

8 0
3 years ago
The total cost at an amusement park can be modeled by y = 1.5x + 20 where x is the number of rides you ride . What is the price
weqwewe [10]

Answer:

A

Step-by-step explanation:

Plug in 10 for x and solve.

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7 0
3 years ago
Read 2 more answers
You want to obtain a sample to estimate a population proportion. At this point in time, you have no reasonable preliminary estim
pogonyaev

Answer:

n=\frac{0.5(1-0.5)}{(\frac{0.025}{1.28})^2}=655.36  

And rounded up we have that n=656

Step-by-step explanation:

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 80% of confidence, our significance level would be given by \alpha=1-0.80=0.20 and \alpha/2 =0.10. And the critical value would be given by:

z_{\alpha/2}=\pm 1.28

Solution to the problem

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)  

Since we don't have prior info for the proportion of interest we can use \hat p=0.5 as estimator. And on this case we have that ME =\pm 0.025 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)  

And replacing into equation (b) the values from part a we got:

n=\frac{0.5(1-0.5)}{(\frac{0.025}{1.28})^2}=655.36  

And rounded up we have that n=656

5 0
3 years ago
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