Respuesta :
Answer:
0.9082 is the probability that the prediction error is less than 1.33 NM
Step-by-step explanation:
We are given the following information in the question:
Mean, μ = 0 NM
Standard Deviation, σ = 1 NM
We are given that the distribution of prediction error is a bell shaped distribution that is a standard normal distribution.
Formula:
[tex]z_{score} = \displaystyle\frac{x-\mu}{\sigma}[/tex]
a) P(less than 1.33 NM)
[tex]P( x < 1.33) = P( z < \displaystyle\frac{1.33 - 0}{1}) = P(z < 1.33)[/tex]
Calculation the value from standard normal z table, we have,
[tex]P(x < 1.33) =0.9082= 90.82\%[/tex]
0.9082 is the probability that the prediction error is less than 1.33 NM
The probability for the prediction error less than 1.33 NM should be 0.9082.
Calculation of the probabilities:
since
A satellite range prediction error has the standard normal distribution with mean 0 NM and standard deviation 1 NM.
So here
P (z<1.33 - 0/1) = P(z<1.33)
So,
P(z<1.33) = 0.9082 = 90.82%
hence, The probability for the prediction error less than 1.33 NM should be 0.9082.
Learn more about mean here: https://brainly.com/question/20930272