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makkiz [27]
3 years ago
15

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Mathematics
2 answers:
sergejj [24]3 years ago
7 0
6 x 6 which equals 36
ira [324]3 years ago
5 0
So basically it’s 6x6 which equals 36 because the two is an exponent. That exponent tells you how many times you have to multiply that number by its self.
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(9×100)+(8×10)+(7× <br> 1000<br> 1<br> ​<br> )
ivolga24 [154]

Answer:

7980

Step-by-step explanation:

900+80+7000=7980

8 0
2 years ago
Kate took out a subsidized Stafford loan worth $9,710 to pay for college.  The interest rate on the loan was 5.9%, compounded mo
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<span>If Kate took out a loan of $9,710 and it took her 5 years to pay off she would have to pay 60 months of interest. Given that, the interest rate of 5.9% would of been $572.89 the first month. Use this information to find the answer. 

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3 0
3 years ago
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viktelen [127]

Answer:

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7 0
2 years ago
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aniked [119]
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4 0
3 years ago
A company receives shipments of a component used in the manufacture of a component for a high-end acoustic speaker system. When
Tanya [424]

Answer:

ME= 2.33*\sqrt{\frac{0.096*(1-0.096)}{250}}= 0.0434

Step-by-step explanation:

For this case we have a sample size of n = 250 units and in this sample they found that 24 units failed one or more of the tests.

We are interested in the proportion of units that fail to meet the company's specifications, and we can estimate this with:

\hat p = \frac{24}{250}= 0.096

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".  

The confidence interval for a proportion is given by this formula  

\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}  

For the 98% confidence interval the value of \alpha=1-0.98=0.02 and \alpha/2=0.01, with that value we can find the quantile required for the interval in the normal standard distribution.  

z_{\alpha/2}=2.33  

And the margin of error would be:

ME= 2.33*\sqrt{\frac{0.096*(1-0.096)}{250}}= 0.0434

4 0
3 years ago
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