Respuesta :
Using the normal distribution, it is found that:
a) The sketch is appended at the end of this answer.
b) 0.95 = 95% of response times are between 14.2 and 29.8 minutes.
c) The 80th percentile of response times is of 25.3 minutes, which means that 80% of the response times are less than 25.3 minutes and 100 - 80 = 20% are more.
d) 0.1841 = 18.41% of all response times for this fire department are below the national mean response time.
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Normal Probability Distribution
Problems of normal distributions can be solved using the z-score formula.
In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the z-score of a measure X is given by:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
- It measures how many standard deviations the measure is from the mean.
- Each z-score has a p-value associated, which is the probability that the value of the measure is smaller than X, that is, the percentile of X.
- Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.
- Mean of 22 means that [tex]\mu = 22[/tex]
- Standard deviation of 3.9 means that [tex]\sigma = 3.9[/tex]
Item b:
- The Empirical Rule states that for a normal variable, 68% of the measures are within 1 standard deviation, 95% are within 2 and 99.7% are within 3.
- 14.2 = 22 - 2(3.9)
- 29.8 = 22 + 2(3.9)
- Within 2 standard deviations of the mean, thus, 0.95 = 95%.
Item c:
- The 80th percentile is the value of X when Z has a p-value of 0.8, so X when Z = 0.84.
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]0.84 = \frac{X - 22}{3.9}[/tex]
[tex]X - 22 = 0.84(3.9)[/tex]
[tex]X = 25.3[/tex]
The 80th percentile of response times is of 25.3 minutes, which means that 80% of the response times are less than 25.3 minutes and 100 - 80 = 20% are more.
Item d:
- This proportion is the p-value of Z when X = 18.5, so:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{18.5 - 22}{3.9}[/tex]
[tex]Z = -0.9[/tex]
[tex]Z = -0.9[/tex] has a p-value of 0.1841.
0.1841 = 18.41% of all response times for this fire department are below the national mean response time.
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