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alexandr402 [8]
3 years ago
7

The mean of hours that the average person watches television each day is 4.18 hours with a standard deviation of 1.19 hours. Fin

d probability that someone watches between 3 and 5 hours a day
Engineering
1 answer:
luda_lava [24]3 years ago
6 0

Answer:

z = \frac{3-4.18}{1.19}=-0.992

z = \frac{5-4.18}{1.19}=0.689

And we can find this probability with this difference:

P(-0.992

And then we can conclude that the probability that someone watches between 3 and 5 hours a day is approximately 0.591 using a normal distribution

Explanation:

For this case we can define the random variable X as "hours that a person watches television". For this case we don't have the distribution for X but we have the following parameters:

\mu = 4.18,\sigma =1.19

We can assume that the distribution for X is normal

X \sim N(\mu = 4.18 , \sigma =1.19)

And we want to find this probability:

P(3

And we can use the z score formula given by:

z=\frac[X- \mu}{\sigma}

And we can find the z score for each limit and we got:

z = \frac{3-4.18}{1.19}=-0.992

z = \frac{5-4.18}{1.19}=0.689

And we can find this probability with this difference:

P(-0.992

And then we can conclude that the probability that someone watches between 3 and 5 hours a day is approximately 0.591 using a normal distribution

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<u>Answer:</u>

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In Example 2-1, part c, the data were represented by the normal distribution function f(x)=0.178 exp(-0.100(x-451)2 Use this dis
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Answer:

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Explanation:

Given:

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                                      f(x)=0.178 exp(-0.100(x-4.51)^2)

Find:

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- The random variable X follows a normal distribution with mean u = 4.51, and standard deviation s.d as follows:

                               s.d = sqrt ( 1 / 0.1*2)

                               s.d = sqrt(5) =2.236067

- Hence, the normal distribution is as follows:

                               X ~ N(4.51 , 2.236)

- Compute the Z-score values of the end points 2.5 and 7.5:

              P ( (2.5 - 4.51) / 2.236 < Z < (7.5 - 4.51 ) / 2.236 )

              P ( -0.898899327 < Z < 1.337168651 )  

- Use the Z-Table for the probability required:

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