Respuesta :
Answer:
0.774 = 77.40% probability that a randomly selected college student will take between 2.0 and 4.5 minutes to find a parking spot in the library lot.
Step-by-step explanation:
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.
In this problem, we have that:
[tex]\mu = 3.5, \sigma = 1[/tex]
Find the probability that a randomly selected college student will take between 2.0 and 4.5 minutes to find a parking spot in the library lot.
pvalue of Z when X = 4.5 subtracted by the pvalue of Z when X = 2. So
X = 4.5
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{4.5 - 3.5}{1}[/tex]
[tex]Z = 1[/tex]
[tex]Z = 1[/tex] has a pvalue of 0.841
X = 2
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{2 - 3.5}{1}[/tex]
[tex]Z = -1.5[/tex]
[tex]Z = -1.5[/tex] has a pvalue of 0.067
0.841 - 0.067 = 0.774
0.774 = 77.40% probability that a randomly selected college student will take between 2.0 and 4.5 minutes to find a parking spot in the library lot.
Answer:
The probability that a randomly selected college student will take between 2.0 and 4.5 minutes to find a parking spot in the library lot is 0.775.
Step-by-step explanation:
We are given that the length of time it takes college students to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute.
Let X = length of time it takes college students to find a parking spot in the library parking
The z-score probability distribution is given by ;
Z = [tex]\frac{ X-\mu}{\sigma}} }[/tex] ~ N(0,1)
where, [tex]\mu[/tex] = mean time = 3.5 minutes
[tex]\sigma[/tex] = standard deviation = 1 minute
The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.
Now, the probability that a randomly selected college student will take between 2.0 and 4.5 minutes to find a parking spot in the library lot is given by = P(2.0 minutes < X < 4.5 minutes)
P(2.0 minutes < X < 4.5 minutes) = P(X < 4.5 minutes) - P(X [tex]\leq[/tex] 2 minutes)
P(X < 4.5) = P( [tex]\frac{ X-\mu}{\sigma}} }[/tex] < [tex]\frac{ 4.5-3.5}{1}} }[/tex] ) = P(Z < 1) = 0.84134 {using z table}
P(X [tex]\leq[/tex] 2) = P( [tex]\frac{ X-\mu}{\sigma}} }[/tex][tex]\leq[/tex] [tex]\frac{ 2-3.5}{1}} }[/tex] ) = P(Z [tex]\leq[/tex] -1.50) = 1 - P(Z < 1.50)
= 1 - 0.93319 = 0.06681
The above probability is calculated using z table by looking at value of x = 1.50 in the z table which have an area of 0.93319.
Therefore, P(2.0 minutes < X < 4.5 minutes) = 0.84134 - 0.06681 = 0.775
Hence, probability that a randomly selected college student will take between 2.0 and 4.5 minutes to find a parking spot in the library lot is 0.775.
