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Rus_ich [418]
3 years ago
5

87g of sugar is needed to make 10 cakes. How much sugar is needed for 7 cakes?

Mathematics
2 answers:
nataly862011 [7]3 years ago
7 0
87g divided by 10 = 8.7
8.7 times 7 = 60.9
60.9g of sugar is needed to make 7 cakes
Hope this helps! Feel free to thanks me, rate me 5/5 and make me brainliest!!!
ddd [48]3 years ago
6 0

Answer:

7 cake needs sugar = 60 .9 grams.

Step-by-step explanation:

Given  : 87g of sugar is needed to make 10 cakes.

To find :  How much sugar is needed for 7 cakes.

Solution : We have given

10 cakes needs sugar = 87 g .

1 cake needs sugar = \frac{87}{10} = 8. 7

7 cake needs sugar = 8 .7 * 7 = 60 .9 g

7 cake needs sugar = 60 .9 grams.

Therefore, 7 cake needs sugar = 60 .9 grams.

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a) \bar X =\frac{46+54}{2}=50

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And if we solve for the deviation like this:

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And replacing we got:

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And as we can see that the margin of error would be lower than the original value of 4, the margin of error would be reduced by a factor \sqrt{2}

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".  

\bar X represent the sample mean  

\mu population mean (variable of interest)  

\sigma represent the population standard deviation  

n=80 represent the sample size  

Solution to the problem

Part a

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

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

For this case we can calculate the mean like this:

\bar X =\frac{46+54}{2}=50

And the margin of error is given by:

ME= \frac{54-46}{2}= 4

The confidence level is 0.96 and the significance level is \alpha=1-0.96=0.04 and the value of \alpha/2 =0.02 and the margin of error is given by:

ME=z_{\alpha/2}\frac{\sigma}{\sqrt{n}}

We can calculate the critical value and we got:

z_{\alpha/2} = 2.05

And if we solve for the deviation like this:

\sigma = ME * \frac{\sqrt{n}}{z_{\alpha/2}}

And replacing we got:

\sigma =4 *\frac{\sqrt{80}}{2.05} =17.45

Part b

For this case is the sample size is doubled the margin of error would be:

ME=z_{\alpha/2}\frac{\sigma}{\sqrt{n}}=2.05 *\frac{17.45}{\sqrt{160}}=2.828

And as we can see that the margin of error would be lower than the original value of 4, the margin of error would be reduced by a factor \sqrt{2}

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