Question

In: Statistics and Probability

Suppose that a long distance taxi service owns 4 vehicles. These are of different ages and...

Suppose that a long distance taxi service owns 4 vehicles. These are of different ages and have different repair records. The probabilities that, on a given day, each vehicle will be available for use are: 0.90, 0.90, 0.80, 0.70. Whether one vehicle is available is independent of whether any other vehicle is available. a. Find the probability distribution for the number of vehicles available for use on a given day. b. Find the expected number of vehicles available for use on a given day. c. Find the standard deviation of the number of vehicles available for use on a given day. Round your answer to four decimal points

Solutions

Expert Solution

a) Let X be the number of vehicles that will be available for use.

Probability tha all 4 will be available for use is

P(X=4) = 0.90*0.90*0.80*0.70 = 0.4536

Probability that 3 cars will be available for use ( 3 car can be any of the 4 cars) is

P(X = 3) = 0.90*0.90*0.80*(1-0.70) + 0.90*0.90*(1-0.80)*0.70 + 0.90*(1-0.90)*0.80*0.70 + (1-0.90)*0.90*0.80*0.70 = 0.4086

Probability that 2 cars will be available for use ( 2 car can be any of the 4 cars) is

P(X=2) = 0.9*0.9*(1-0.80)*(1-0.70) + 0.9*(1-0.9)*0.8*(1-0.7) + (1-0.9)*0.9*0.8*(1-0.7) + 0.9*(1-0.9)*(1-0.8)*0.7 + (1-0.9)*0.9*(1-0.8)*0.7 + (1-0.9)*(1-0.9)*0.8*0.7

P(X=2) = 0.1154

Probability that 1 cars will be available for use ( 1 car can be any of the 4 cars) is

P(X=1) = 0.9*(1-0.9)*(1-0.80)*(1-0.70) + (1-0.9)*0.9*(1-0.8)*(1-0.7) + (1-0.9)*(1-0.9)*0.8*(1-0.7) + (1-0.9)*(1-0.9)*(1-0.8)*0.7

P(X=1) = 0.0146

Probability that 0 cars will be available for use is

P(X = 0) = (1-0.9)*(1-0.9)*(1-0.80)*(1-0.7) = 0.0006

X 0 1 2 3 4
P(X) 0.0006 0.0146 0.1154 0.4086 0.4536

b)

The expected number of vehicles available for use on a given day =

c)

the standard deviation of the number of vehicles available for use on a given day =

Please rate positive if it helped :)


Related Solutions

An administrator wanted to study the utilization of long-distance telephone service by a department. One variable...
An administrator wanted to study the utilization of long-distance telephone service by a department. One variable of interest (let’s call it X) is the length, in minutes, of long-distance calls made during one month. There were 38 calls that resulted in a connection. The length of calls, already ordered from smallest to largest, are presented in the following table. 1.6 1.7 1.8 1.8 1.8 2.1 2.5 3.0 3.0 4.4 4.5 4.5 5.9 7.1 7.4 7.5 7.7 8.6 9.3 9.5 12.7...
An administrator wanted to study the utilization of long-distance telephone service by a department. One variable...
An administrator wanted to study the utilization of long-distance telephone service by a department. One variable of interest (let’s call it X) is the length, in minutes, of long-distance calls made during one month. There were 38 calls that resulted in a connection. The length of calls, already ordered from smallest to largest, are presented in the following table. 1.6 1.7 1.8 1.8 1.9 2.1 2.5 3.0 3.0 4.4 4.5 4.5 5.9 7.1 7.4 7.5 7.7 8.6 9.3 9.5 12.7...
The TIV Telephone Company provides long-distance telephone service in an area. According to the company’s records,...
The TIV Telephone Company provides long-distance telephone service in an area. According to the company’s records, the average length of all long-distance phone calls placed through this company in 2015 was 12.44 minutes. The company’s management wants to check if the mean length of the current long- distance calls is different from 12.44 minutes. A sample of 150 such calls placed through the company produced a mean length of 13.71 minutes. The standard deviation of all such calls is 2.65...
83. Suppose that the length of long distance phone calls, measured in minutes, is known to...
83. Suppose that the length of long distance phone calls, measured in minutes, is known to have an exponential distribution with the average length of a call equal to eight minutes. a. Define the random variable. X= ________________. b. Is X continuous or discrete? c. μ= ________ d. σ= ________ e. Draw a graph of the probability distribution. Label the axes. f. Find the probability that a phone call lasts less than nine minutes. g. Find the probability that a...
Suppose your population of interest is composed of ages of all 4 children in a family....
Suppose your population of interest is composed of ages of all 4 children in a family. You write the population values (1,3,5,7) on slips of paper. You then randomly select 2 slips of paper, with replacement. (a) List all possible samples of size n = 2 and calculate the mean of each. (b) Create the sampling distribution of the sample means. (c) Determine the mean, variance, and standard deviation of the sample means. (d) Compare your results with the mean,...
Exercise 1.8 Your long distance phone service has a base monthly charge and a per-minute charge....
Exercise 1.8 Your long distance phone service has a base monthly charge and a per-minute charge. When you used 350 minutes in a month the total cost was $32.50. When you used 400 minutes in a month the total cost was $36.50. You want an equation that will allow you to calculate your phone bill. Please provide: a. the definition of x, including the units b. the definition of y, including the units c. the equation in the form y...
Suppose a long jumper claims that her jump distance is less than 16 feet, on average....
Suppose a long jumper claims that her jump distance is less than 16 feet, on average. Several of her teammates do not believe her, so the long jumper decides to do a hypothesis test, at a 10% significance level, to persuade them. she makes 19 jumpes. The mean distance of the sample jumps is 13.2 feet. the long jumper knows from experience that the standard deviation of her jump distance is 1.5 ft A. State the null and alternate hypothesis...
Braking distance was evaluated for 4 different brake materials. Run an analysis of variance to determine...
Braking distance was evaluated for 4 different brake materials. Run an analysis of variance to determine if there is a difference in treatments? Use the six steps of hypothesis testing at a 0.05 level of significance. Put the below data into Excel to perform the analysis. Is the average braking distance for material 2 different than the average braking distance for material 3? Prove your conclusion by using the confidence interval formula: (x1-x2) +/- t √MSE (1/n1 + 1/n2) please...
Braking distance was evaluated for 4 different brake materials. Run an analysis of variance to determine...
Braking distance was evaluated for 4 different brake materials. Run an analysis of variance to determine if there is a difference in treatments?   Use the six steps of hypothesis testing at a 0.05 level of significance. Put the below data into Excel to perform the analysis. Braking Distance Disk Material 1 Disk Material 2 Disk Material 3 Disk Material 4 69.8 78.1 77.7 90.6 65.6 81.0 80.9 91.0 71.7 81.9 80.8 89.4 70.5 81.8 79.8 88.1 68.0 78.8 81.1 87.5...
Braking distance was evaluated for 4 different brake materials. Run an analysis of variance to determine...
Braking distance was evaluated for 4 different brake materials. Run an analysis of variance to determine if there is a difference in treatments?   Use the six steps of hypothesis testing at a 0.05 level of significance. Put the below data into Excel to perform the analysis. Braking Distance Disk Material 1 Disk Material 2 Disk Material 3 Disk Material 4 69.8 78.1 77.7 90.6 65.6 81.0 80.9 91.0 71.7 81.9 80.8 89.4 70.5 81.8 79.8 88.1 68.0 78.8 81.1 87.5...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT