Time in bankruptcy.Refer to the Financial Management(Spring 1995) study of 49 firms filing for prepackagedbankruptcies, Exercise 2.32 (p. 86). Recall that three typesof “prepack” firms exist: (1) those who hold no prefilingvote, (2) those who vote their preference for a joint solution;and (3) those who vote their preference for a prepack.

a.Construct a box plot for the time in bankruptcy (months) for each type of firm.

b.Find the median bankruptcy times for the three types.

c.How do the variabilities of the bankruptcy times compare for the three types?

d.The standard deviations of the bankruptcy times are 2.47 for “none,” 1.72 for “joint,” and 0.96 for “prepack.” Do the standard deviations agree with the interquartile ranges concerning the comparison of the variabilities of the bankruptcy times?

e.Is there evidence of outliers in any of the three distributions?

Short Answer

Expert verified

a.

b. None = 3.2, Pre-pack = 1.4, Joint = 1.5

c. Firms with joint solutions have the most variability

d. Only for pre-pack, the standard deviation agrees with IQR

e. Firms with no prefiling and with a pre-pack have outliers

Step by step solution

01

Step-by-Step Solution Step 1: Constructing a box plot

Arranging the data in ascending order,

First, calculating the information needed to construct a box plot for no prefilling vote,

Q1(None)=N+14=11+14=124=3rdterm=2.6

Q2(None)=N+12=11+12=122=6thterm=3.2

Q3(None)=3(N+1)4=3(11+1)4=364=9thterm=4.2

IQR=QU–QL=4.2–2.6=1.6

LowerInnerFence=QL1.5(IQR)=2.61.5(1.6)=2.62.4=0.2

UpperInnerFence=QU+1.5(IQR)=4.2+1.5(1.6)=4.2+2.4=6.6

Second, calculating the data needed for a box plot of pre-pack votes

Q1(prepack)=N+14=27+14=284=7thterm=1.2

Q2(prepack)=N+12=27+12=282=14thterm=1.4

Q3(prepack)=3(N+1)4=3(27+1)4=844=21thterm=2.1

IQR=QU–QL=2.1–1.2=0.9

LowerInnerFence=QL1.5(IQR)=1.21.5(0.9)=1.21.35=0.15

UpperInnerFence=QU+1.5(IQR)=2.1+1.5(0.9)=2.1+1.35=3.45

Third, computing the data for joint votes,

Q1(Joint)=N+14=11+14=124=3rdterm=1.4

Q2(Joint)=N+12=11+12=122=6thterm=1.5

Q3(Joint)=3(N+1)4=3(11+1)4=364=9thterm=4.5

IQR=QUQL=4.51.4=3.1

LowerInnerFence=QL1.5(IQR)=1.41.5(3.1)=1.44.65=3.25

UpperInnerFence=QU+1.5(IQR)=4.5+1.5(3.1)=4.5+4.65=9.15

Finally, constructing the box plot,

02

Finding the median bankruptcy time for all types of firms

Median(None)=N+12=11+12=122=6thterm=3.2

Median(prepack)=N+12=27+12=282=14thterm=1.4

Median(Joint)=N+12=11+12=122=6thterm=1.5

03

Comparing the variabilities

Bankruptcy time for firms with a pre-pack is lower than the other two types of firms. The IQR is the highest for firms with a joint pack, followed by the firms with no prefiling.

04

Making a relation between the IQR and the standard deviations

The standard deviation and the IQR for the firms with no prefiling are 2.47 and 1.6, respectively. A very significant gap between the two numbers indicates the impact of outliers on the standard deviation.

The IQR (0.9) and the standard deviation (0.96) for pre-pack firms are almost the same. Whereas the IQR (3.1) and standard deviation (1.72) for the joint group are pretty far from each other, implying outliers' impact.

05

Identifying the outliers

Based on the boxplots created in step 1, we can say that there are 2 outliers (7.8, 10.1) in the no prefiling group. And 3 outliers (3.8, 4.1, 4.1) in the group of firms with pre-pack.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Top credit card issuers, by region. The Nilson Report (December 2015) published a list of the top 150 credit card issuers worldwide. The issuers (e.g., American Express, MasterCard, Visa) were ranked based on outstanding debt during the year. The table gives a breakdown of the regions in the world served by the top 150 credit card issuers.

Worldwide Region

Number of credit
card issuers



Asia-Pacific

48


Canada

10


Europe

34


Latin America

29


Middle East/Africa

3


United States

26


Total

150


a. One of the top 150 credit card issuers is selected at random, and the region it serves is determined. What type of data (quantitative or qualitative) is measured?

b. For each region in the table, calculate the percentage of the 150 top credit card issuers that fall into that region.

c. Use the percentages, part b, to construct a relative frequency bar graph for the data summarized in the table.

d. Based on the bar graph, make a statement about the regions that most of the top 150 credit card users serve.

Suppose a data set consisting of exam scores has a lower quartile QL = 60, a median QM = 75, and an upper quartile QU = 85. The scores on the exam range from 18 to 100. Without having the actual scores available to you, construct as much of the box plot as possible.

Defects in new automobiles.Consider the following data from the automobile industry. All cars produced on a particular day were inspected for defects. The 145 defects found were categorized by type as shown in the accompanying table.

Defect Type

Number

Accessories

Body

Electrical

Engine

Transmission

50

70

10

5

10

a.Construct a Pareto diagram for the data. Use the graph to identify the most frequently observed type of defect.

b.All 70 car body defects were further classified as to type. The frequencies are provided in the following table. Form a Pareto diagram for the type of body defect. (Adding this graph to the original Pareto diagram of part a is called exploding the Pareto diagram.) Interpret the result. What type of body defect should be targeted for special attention?

Body Defect

Number

Chrome

Dents

Paint

Upholstery

Windshield

2

25

30

10

3

Cable TV subscriptions and “cord cutters.” Has the increasing popularity of smartphones and video streaming over the Internet affected cable and satellite TV subscriptions? This was one of the questions of interest in a recent Pew Research Center survey (December 2015). Telephone (both landline and cell phone) interviews were conducted on a representative sample of 2,001 adults living in the United States. For this sample, 1,521 adults reported that they currently receive cable or satellite TV service at home, 180 revealed that they have never subscribed to cable/satellite TV service at home, and the remainder (300 adults) admitted that they are “cord cutters,” i.e., they canceled the cable/satellite TV service. The results are summarized in the Minitab pie chart shown.

a. According to the pie chart, what proportion of the adults in the sample currently have a cable/satellite TV subscription at home? Verify the accuracy of this proportion using the survey results.

b. Now consider only the 1,821 adults in the sample that have at one time or another subscribed to cable/satellite TV service. Create a graph that compares the proportions of adults who currently subscribe to cable/satellite TV service with the proportion who are “cord cutters.”

Question: The output from a statistical software package indicates that the mean and standard deviation of a data set consisting of 200 measurements are \(1,500 and \)300, respectively.

a.What are the units of measurement of the variable of interest? Based on the units, what type of data is this: quantitative or qualitative?

b.What can be said about the number of measurements between \(900 and \)2,100? Between \(600 and \)2,400? Between \(1,200 and \)1,800? Between \(1,500 and \)2,100?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free