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andrezito [222]
2 years ago
11

Please solve this question

Mathematics
1 answer:
ANTONII [103]2 years ago
3 0

The probability that a randomly selected x-value from the distribution will be in the interval:

  • P(35 < x < 45) = 0.6827 and,
  • P(30 < x < 40) = 0.47725

<h3>What is the probability of a normal distribution?</h3>

The probability of a normal distribution can be determined from the symmetrical curve between 1 to 100%.

From the information given:

  • Mean = 40
  • Standard deviation = 5

To determine the probability that a randomly selected x-value is in the given interval:

  • P(35<x<45)
  • P(30<x<40)

P(35 < x < 45) = P(\dfrac{35-40}{5} < Z < \dfrac{45-40}{5})

P(35 < x < 45) = P(\dfrac{-5}{5} < Z < \dfrac{5}{5})

P(35 < x < 45) = P(-1 < Z < 1)

\mathbf{P(35 < x < 45) = P[Z\le 1] -P[Z\le -1]}

Using normal distribution table:

P(35 < x < 45) = 0.8414 - 0.1587

P(35 < x < 45) = 0.6827

P(30 < x < 40) = P(\dfrac{30-40}{5} < Z < \dfrac{40-40}{5})

P(30 < x < 40) = P(\dfrac{-10}{5} < Z < \dfrac{0}{5})

P(30 < x < 40) = P(-2 < Z < 0)

\mathbf{P(30 < x < 40) = P[Z\le0]-P[Z\le -2]}

Using normal distribution table:

P(30 < x < 40) = 0.5 - 0.02275

P(30 < x < 40) = 0.47725

Learn more about the probability of a normal distribution here:

brainly.com/question/4079902

#SPJ1

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And we can find this probability using the complement rule:

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Let X the random variable that represent the scores of a population, and for this case we know the distribution for X is given by:

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Where \mu=440 and \sigma=20

We are interested on this probability

P(X>440)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X>400)=P(\frac{X-\mu}{\sigma}>\frac{400-\mu}{\sigma})=P(Z>\frac{400-440}{20})=P(z>-2)

And we can find this probability using the complement rule:

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And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.  

P(z>-2)=1-P(z

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