Respuesta :
Answer:
p(on schedule) ≈ 0.7755
Step-by-step explanation:
A suitable probability calculator can show you this answer.
_____
The z-values corresponding to the build time limits are ...
z = (37.5 -45)/6.75 ≈ -1.1111
z = (54 -45)/6.75 ≈ 1.3333
You can look these up in a suitable CDF table and find the difference between the values you find. That will be about ...
0.90879 -0.13326 = 0.77553
The probability assembly will stay on schedule is about 78%.
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Using the normal distribution, it is found that there is a 0.7747 = 77.47% probability that the build time will be such that assembly will stay on schedule.
Normal Probability Distribution
In a normal distribution 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.
- After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score , which is the percentile of measure X.
In this problem:
- Mean of 45 hours, thus [tex]\mu = 45[/tex].
- Standard deviation of 6.75 hours, thus [tex]\sigma = 6.75[/tex].
- The probability of the time being between 37.5 and 54 hours is the p-value of Z when X = 54 subtracted by the p-value of Z when X = 37.5, then:
X = 54
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{54 - 45}{6.75}[/tex]
[tex]Z = 1.33[/tex]
[tex]Z = 1.33[/tex] has a p-value of 0.9082.
X = 37.5
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{37.5 - 45}{6.75}[/tex]
[tex]Z = -1.11[/tex]
[tex]Z = -1.11[/tex] has a p-value of 0.1335.
0.9082 - 0.1335 = 0.7747.
0.7747 = 77.47% probability that the build time will be such that assembly will stay on schedule.
A similar problem is given at https://brainly.com/question/24663213