Essentials of Business Analytics (MindTap Course List)
2nd Edition
ISBN: 9781305627734
Author: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher: Cengage Learning
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Textbook Question
Chapter 5, Problem 1P
On-time arrivals, lost baggage, and customer complaints are three measures that are typically used to measure the quality of service being offered by airlines. Suppose that the following values represent the on-time arrival percentage, amount of lost baggage, and customer complaints for 10 U.S. airlines.
- a. Based on the data above, if you randomly choose a Delta Air Lines flight, what is the
probability that this individual flight will have an on-time arrival? - b. If you randomly choose 1 of the 10 airlines for a follow-up study on airline quality ratings, what is the probability that you will choose an airline with less than two mishandled baggage reports per 1,000 passengers?
- c. If you randomly choose 1 of the 10 airlines for a follow-up study on airline quality ratings, what is the probability that you will choose an airline with more than one customer complaint per 1,000 passengers?
- d. What is the probability that a randomly selected AirTran Airways flight will not arrive on time?
a.
Expert Solution
To determine
Find the probability that a randomly selected D flight has an on-time arrival.
Answer to Problem 1P
The probability that a randomly selected D flight has an on-time arrival is 0.865.
Explanation of Solution
Calculation:
From the given table, the percentage of D flight has an on-time arrival is 86.5%.
Thus, the probability that a randomly selected D flight has an on-time arrival is 0.865.
b.
Expert Solution
To determine
Find the probability that a randomly selected airline has less than two mishandled baggage reports per 1,000 passengers.
Answer to Problem 1P
The probability that a randomly selected airline has less than two mishandled baggage reports per 1,000 passengers is 0.3.
Explanation of Solution
Calculation:
From the given table, there are 3 airlines which have less than two mishandled baggage reports per 1,000 passengers. Also, there are 10 airlines.
Define the event A as the airline has less than two mishandled baggage reports per 1,000 passengers.
The required probability is obtained as given below:
Thus, the probability that a randomly selected airline has less than two mishandled baggage reports per 1,000 passengers is 0.3.
c.
Expert Solution
To determine
Find the probability that a randomly selected airline has more than one customer compliant per 1,000 passengers.
Answer to Problem 1P
The probability that a randomly selected airline has more than one customer compliant per 1,000 passengers is 0.5.
Explanation of Solution
Calculation:
From the given table, there are 5 airlines which have more than one customer compliant.
Define the event B as the airline that has more than one customer compliant per 1,000 passengers.
The required probability is obtained as given below:
Thus, the probability that a randomly selected airline has more than one customer compliant per 1,000 passengers is 0.5.
d.
Expert Solution
To determine
Find the probability that a randomly selected AT flight does not have an on-time arrival.
Answer to Problem 1P
The probability that a randomly selected AT flight does not have an on-time arrival is 0.129.
Explanation of Solution
Calculation:
From the given table, the percentage of AT flight has an on-time arrival is 87.1%.
Define the event C as AT flight has an on-time arrival.
The required probability is obtained as given below:
Thus, the probability that a randomly selected AT flight does not have an on-time arrival is 0.129.
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Microsoft Excel snapshot for random sampling: Also note the formula used for the last
column
02
x✓ fx =INDEX(5852:58551, RANK(C2, $C$2:$C$51))
A
B
1
No.
States
2
1
ALABAMA
Rand No.
0.925957526
3
2
ALASKA
0.372999976
4
3
ARIZONA
0.941323044
5
4 ARKANSAS
0.071266381
Random Sample
CALIFORNIA
NORTH CAROLINA
ARKANSAS
WASHINGTON
G7
Microsoft Excel snapshot for systematic sampling:
xfx INDEX(SD52:50551, F7)
A
B
E
F
G
1
No.
States
Rand No. Random Sample
population
50
2
1 ALABAMA
0.5296685 NEW HAMPSHIRE
sample
10
3
2 ALASKA
0.4493186 OKLAHOMA
k
5
4
3 ARIZONA
0.707914 KANSAS
5
4 ARKANSAS 0.4831379 NORTH DAKOTA
6
5 CALIFORNIA 0.7277162 INDIANA
Random Sample
Sample Name
7
6 COLORADO 0.5865002 MISSISSIPPI
8
7:ONNECTICU 0.7640596 ILLINOIS
9
8 DELAWARE 0.5783029 MISSOURI
525
10
15
INDIANA
MARYLAND
COLORADO
Suppose the Internal Revenue Service reported that the mean tax refund for the year 2022 was $3401. Assume the standard deviation is $82.5 and that the amounts refunded follow a normal probability distribution. Solve the following three parts? (For the answer to question 14, 15, and 16, start with making a bell curve. Identify on the bell curve where is mean, X, and area(s) to be determined.
1.What percent of the refunds are more than $3,500?
2. What percent of the refunds are more than $3500 but less than $3579?
3. What percent of the refunds are more than $3325 but less than $3579?
A normal distribution has a mean of 50 and a standard deviation of 4. Solve the following three parts?
1. Compute the probability of a value between 44.0 and 55.0.
(The question requires finding probability value between 44 and 55. Solve it in 3 steps.
In the first step, use the above formula and x = 44, calculate probability value.
In the second step repeat the first step with the only difference that x=55.
In the third step, subtract the answer of the first part from the answer of the second part.)
2. Compute the probability of a value greater than 55.0.
Use the same formula, x=55 and subtract the answer from 1.
3. Compute the probability of a value between 52.0 and 55.0.
(The question requires finding probability value between 52 and 55. Solve it in 3 steps.
In the first step, use the above formula and x = 52, calculate probability value.
In the second step repeat the first step with the only difference that x=55.
In the third step, subtract the answer of the first part from the…
Chapter 5 Solutions
Essentials of Business Analytics (MindTap Course List)
Ch. 5 - On-time arrivals, lost baggage, and customer...Ch. 5 - Consider the random experiment of rolling a pair...Ch. 5 - Suppose that for a recent admissions class, an Ivy...Ch. 5 - Suppose that we have two events, A and B, with...Ch. 5 - Students taking the Graduate Management Admissions...Ch. 5 - More than 40 million Americans are estimated to...Ch. 5 - The Human Resources Manager for Optilytics LLC is...Ch. 5 - As was discussed in the Analytics in Action from...Ch. 5 - Cooper Realty is a small real estate company...Ch. 5 - Prob. 10P
Ch. 5 - A local bank reviewed its credit-card policy with...Ch. 5 - RunningWithTheDevil.com created a web site to...Ch. 5 - An oil company purchased an option on land in...Ch. 5 - Suppose the following data represent the number of...Ch. 5 - The percent frequency distributions of job...Ch. 5 - The following table provides a probability...Ch. 5 - The probability distribution for damage claims...Ch. 5 - The J.R. Ryland Computer Company is considering a...Ch. 5 - Prob. 19PCh. 5 - Many companies use a quality control technique...Ch. 5 - Consider a Poisson distribution with .
Write the...Ch. 5 - Emergency 911 calls to a small municipality in...Ch. 5 - A regional director responsible for business...Ch. 5 - The random variable x is known to be uniformly...Ch. 5 - Prob. 26PCh. 5 - Suppose we are interested in bidding on a piece of...Ch. 5 - Prob. 28PCh. 5 - The Siler Construction Company is about to bid on...Ch. 5 - Suppose that the return for a particular large-cap...Ch. 5 - A person must score in the upper 2% of the...Ch. 5 - Assume that the traffic to the web site of Smileys...Ch. 5 - Suppose that Motorola uses the normal distribution...Ch. 5 - Prob. 34PCh. 5 - Prob. 35PCh. 5 - Suppose that the time spent by players in a single...
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