Consider the probability that greater than 98 out of 146 houses will not lose power once a year. Assume the probability that a given house will not lose power once a year is 57%. Approximate the probability using the normal distribution. Round your answer to four decimal places.

Respuesta :

Answer:

0.0054 = 0.54% probability that greater than 98 out of 146 houses will not lose power once a year.

Step-by-step explanation:

I am going to use the normal approximation to the binomial to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

[tex]E(X) = np[/tex]

The standard deviation of the binomial distribution is:

[tex]\sqrt{V(X)} = \sqrt{np(1-p)}[/tex]

Normal probability distribution

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

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

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

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.

When we are approximating a binomial distribution to a normal one, we have that [tex]\mu = E(X)[/tex], [tex]\sigma = \sqrt{V(X)}[/tex].

In this problem, we have that:

[tex]n = 146, p = 0.57[/tex]

So

[tex]\mu = E(X) = np = 146*0.57 = 83.22[/tex]

[tex]\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{146*0.57*0.43} = 5.98[/tex]

Probability that greater than 98 out of 146 houses will not lose power once a year.

Using continuity correction, this is [tex]P(X > 98 + 0.5) = P(X > 98.5)[/tex], which is 1 subtracted by the pvalue of Z when X = 98.5. So

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]Z = \frac{98.5 - 83.22}{5.98}[/tex]

[tex]Z = 2.55[/tex]

[tex]Z = 2.55[/tex] has a pvalue of 0.9946

1 - 0.9946 = 0.0054

0.0054 = 0.54% probability that greater than 98 out of 146 houses will not lose power once a year.