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Answer:
A. 0.15%
Step-by-step explanation:
The times of all 15 year old who run a certain race are approximately normally distributed with a given mean as 18 sec and standard deviation as 1.2 sec.
We know that,
[tex]z=\dfrac{X-\mu}{\sigma}[/tex]
where,
X = raw score = 14.4
μ = mean = 18
σ = standard deviation = 1.2
Putting the values,
[tex]z=\dfrac{14.4-18}{1.2}=\dfrac{-3.6}{1.2}=-3[/tex]
Finding the the probability from z score table, we get
[tex]P(z<-3)=0.00135=0.135\%[/tex]
The percentage of runners that have times less than 14.4 seconds that is P(x<14.4) is 0.0013499 which is approximately = 0.15%.
What is standard deviation?
The standard deviation of a data set is defined as how the data is dispersed in relation to the mean.
From the question,
The raw time given (X) = 14.4 sec
The mean value(m) = 18sec
The standard deviation(d) = 1.2 sec
Using the formula,
z = X - m/ d
z= 14.4- 18/1.2
z = -3.6/1.2
z= -3
Using a Z table to find the percentage equivalent of P(x<14.4) is 0.0013499 which is approximately = 0.15%.
Therefore, the percentage of runners that have times less than 14.4 seconds that is P(x<14.4) is 0.0013499 which is approximately = 0.15%.
Learn more about standard deviation here:
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