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Paraphin [41]
2 years ago
15

Lim n->infinity 4n^3-5/9n^3+7

Mathematics
1 answer:
hram777 [196]2 years ago
4 0

Answer:

\lim_{n\rightarrow +\infty } \frac{4n^{3}-5}{9n^{3}+7}=\frac{4}{9}

Step-by-step explanation:

\lim_{n\rightarrow +\infty } \frac{4n^{3}-5}{9n^{3}+7}

<u>Pull out  n³</u>

=\lim_{n\rightarrow +\infty } \frac{n^{3}\times \left( 4-\frac{5}{n^3} \right)  }{n^{3}\times \left( 9+\frac{7}{n^3} \right)  }

<u>Simplify by n³</u>

=\lim_{n\rightarrow +\infty } \frac{ \left( 4-\frac{5}{n^3} \right)  }{ \left( 9+\frac{7}{n^3} \right)  }

<u>Remark</u> : \lim_{n\rightarrow +\infty } \frac{5}{n^3} \right)  } = 0 \ \. \text{and} \ \  \lim_{n\rightarrow +\infty } \frac{7}{n^3} \right)  } = 0

Then

\lim_{n\rightarrow +\infty } \frac{ \left( 4-\frac{5}{n^3} \right)  }{ \left( 9+\frac{7}{n^3} \right)  }=\frac{4-0}{9+0}

=\frac{4}{9}

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Answer:

  the correct choice is marked

Step-by-step explanation:

  f(x)\cdot g(x)=(x^2-81)\dfrac{x+9}{x-9}=\dfrac{(x-9)(x+9)(x+9)}{(x-9)}\\\\=\boxed{(x+9)^2}

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3 years ago
Let X be the number of accidents per week at the Hillsborough Street roundabout by the NCSU Bell Tower. Assume X varies with mea
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Answer:

1) 0.1587 = 15.15% probability that x is less than 2

2) 7.64% probability that there are fewer than 100 accidents at the roundabout in a year

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the Central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 2.2, \sigma = 1.4

1)

Here we have \mu = 2.2, s = \frac{1.4}{\sqrt{52}} = 0.194

What is the probability that x is less than 2?

This is the pvalue of Z when X = 2.

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

By the Central Limit Theorem

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

Z = \frac{2 - 2.2}{0.194}

Z = -1.03

Z = -1.03 has a pvalue of 0.1515

0.1587 = 15.15% probability that x is less than 2

2)

100/52 = 1.9231

This is the pvalue of Z when X = 1.9231

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

Z = \frac{1.9231 - 2.2}{0.194}

Z = -1.43

Z = -1.43 has a pvalue of 0.0764

7.64% probability that there are fewer than 100 accidents at the roundabout in a year

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