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pshichka [43]
3 years ago
12

Compute the limit of the following as x approaches infinity.

Mathematics
1 answer:
Nonamiya [84]3 years ago
3 0

Yes, that's the correct limit.

\sqrt{x^2+1}-x=\dfrac1{\sqrt{x^2+1}+x}=\dfrac1{\sqrt{x^2}\sqrt{1+\frac1{x^2}}+x}

\sqrt{x^2}=|x|, but since x\to\infty, we are considering x>0, for which |x|=x. Then

\displaystyle\lim_{x\to\infty}\sqrt{x^2+1}-x=\lim_{x\to\infty}\frac1{x\left(\sqrt{1+\frac1{x^2}}+1\right)}

and both \dfrac1x and \dfrac1{x^2} vanish as x\to\infty, making the overall limit 0.

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svetlana [45]

Answer:

the side s is 18

Step-by-step explanation:

s=?

Area of square(A)=324

Now,

A=s²

324=s²

√(324)=s

s=18

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Assume that the readings at freezing on a batch of thermometers are normally distributed with a mean of 0°C and a standard devia
PSYCHO15rus [73]

Using the normal distribution, it is found that the two readings that are cutoff values separating the rejected thermometers from the others are -1.96ºC and 1.96ºC.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

Z = \frac{X - \mu}{\sigma}

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

\mu = 0, \sigma = 1.

The z-score that cuts off the bottom and top 2.5% of the distribution is z = \pm 1.96, hence:

Z = \frac{X - \mu}{\sigma}

-1.96 = \frac{X - 0}{1}

X = -1.96

Z = \frac{X - \mu}{\sigma}

1.96 = \frac{X - 0}{1}

X = 1.96

The two readings that are cutoff values separating the rejected thermometers from the others are -1.96ºC and 1.96ºC.

More can be learned about the normal distribution at brainly.com/question/27879230

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Is there an image, or shape that this is?

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