QUESTION IMAGE
Question
question 2
a company owned vehicle is used for employee trips. the vehicle is used an average of 10 days per
month, with a standard deviation of 2 days. data is normally distributed. four decimal places
find the probability that the car is used more than 15 days per month
find the probability that the car is used between 12 and 15 days per month
find the probability that the car is used between 6 and 15 days per month
find the probability that the care is used more than 5 days per month
Step1: Calculate z - score formula
The z - score formula is \(z=\frac{x-\mu}{\sigma}\), where \(\mu = 10\) (mean), \(\sigma=2\) (standard deviation)
Part 1: Probability that the car is used more than 15 days per month
Step2: Calculate z - score for \(x = 15\)
\(z=\frac{15 - 10}{2}=\frac{5}{2}=2.5\)
Step3: Find probability using standard normal table
\(P(X>15)=1 - P(X\leq15)\)
From the standard normal table, \(P(Z\leq2.5)=0.9938\)
\(P(X > 15)=1-0.9938 = 0.0062\)
Part 2: Probability that the car is used between 12 and 15 days per month
Step2: Calculate z - scores
For \(x = 12\): \(z_1=\frac{12 - 10}{2}=1\)
For \(x = 15\): \(z_2 = 2.5\) (calculated above)
Step3: Find probabilities using standard normal table
\(P(12<X<15)=P(Z < 2.5)-P(Z < 1)\)
From the standard normal table, \(P(Z<1)=0.8413\), \(P(Z < 2.5)=0.9938\)
\(P(12<X<15)=0.9938 - 0.8413=0.1525\)
Part 3: Probability that the car is used between 6 and 15 days per month
Step2: Calculate z - scores
For \(x = 6\): \(z_1=\frac{6 - 10}{2}=\frac{- 4}{2}=-2\)
For \(x = 15\): \(z_2 = 2.5\) (calculated above)
Step3: Find probabilities using standard normal table
\(P(6<X<15)=P(Z < 2.5)-P(Z<-2)\)
From the standard normal table, \(P(Z < - 2)=0.0228\), \(P(Z < 2.5)=0.9938\)
\(P(6<X<15)=0.9938-0.0228 = 0.9710\)
Part 4: Probability that the car is used more than 5 days per month
Step2: Calculate z - score
For \(x = 5\): \(z=\frac{5 - 10}{2}=\frac{-5}{2}=-2.5\)
Step3: Find probability using standard normal table
\(P(X>5)=1 - P(X\leq5)\)
From the standard normal table, \(P(Z\leq - 2.5)=0.0062\)
\(P(X>5)=1 - 0.0062=0.9938\)
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- \(0.0062\)
- \(0.1525\)
- \(0.9710\)
- \(0.9938\)