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Mama L [17]
3 years ago
15

If x+y=12,and xy =22,find x^2+y^2​

Mathematics
2 answers:
Pepsi [2]3 years ago
6 0

Here,

x+y=12 and xy=22

<h3>we know that, </h3>

\tt{(x+y)^2=x^2+y^2+2xy  } ⠀

according to the question,

\tt{ (12)^2=x^2+y^2+2×22 } ⠀

\tt{ x^2+y^2=144-44 } ⠀

\tt{x^2+y^2=100  } ⠀

DochEvi [55]3 years ago
6 0

Answer:

\bold{ x^2+y^2=100  } 

Step-by-step explanation:

In questions,

x+y=12

xy=22

so,

\mapsto{x^2+y^2+2ab=(x+y)^2   }      

\mapsto{x^2+y^2+2×22=144   }      

\mapsto{x^2+y^2=144-44   }      

\mapsto{ x^2+y^2=100  }      

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What is the probability of rolling 4 even numbers on 4 rolls of a dice
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A union of restaurant and foodservice workers would like to estimate the mean hourly wage, μ, of foodservice workers in the U.S.
pav-90 [236]

Answer:

n=(\frac{1.960(2.25)}{0.35})^2 =158.76 \approx 159

So the answer for this case would be n=159 rounded up to the nearest integer

Step-by-step explanation:

Assuming this complete question: A union of restaurant and foodservice workers would like to estimate the mean hourly wage, , of foodservice workers in the U.S. The union will choose a random sample of wages and then estimate using the mean of the sample. What is the minimum sample size needed in order for the union to be 95% confident that its estimate is within $0.35 of ? Suppose that the standard deviation of wages of foodservice workers in the U.S. is about $2.15 .

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 for the sample  

\mu population mean (variable of interest)

\sigma=2.25 represent the population standard deviation

n represent the sample size  

Solution to the problem

Since the Confidence is 0.95 or 95%, the value of \alpha=0.05 The margin of error is given by this formula:

ME=z_{\alpha/2}\frac{s}{\sqrt{n}}    (a)

And on this case we have that ME =0.35 and we are interested in order to find the value of n, if we solve n from equation (a) we got:

n=(\frac{z_{\alpha/2} \sigma}{ME})^2   (b)

The critical value for 95% of confidence interval now can be founded using the normal distribution. And in excel we can use this formla to find it:"=-NORM.INV(0.025;0;1)", and we got z_{\alpha/2}=1.960, replacing into formula (b) we got:

n=(\frac{1.960(2.25)}{0.35})^2 =158.76 \approx 159

So the answer for this case would be n=159 rounded up to the nearest integer

3 0
3 years ago
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