Study of analysts' forecasts. The Journal of Accounting Research (March 2008) published a study on the relationship between incentives and the degree of optimism among analysts' forecasts. Participants were analysts at either a large or small brokerage firm who made their forecasts early or late in the quarter. Also, some analysts were only concerned with making an accurate forecast, while others were also interested in their relationship with management. Suppose one of these analysts is randomly selected.

Consider the following events:

A = {The analyst is concerned only with making an accurate forecast.}

B = {The analyst makes the forecast early in the quarter.}

C = {The analyst is from a small brokerage firm.}

Describe the following events in terms of unions, intersections, and complements (e.g.,AB,AB,Ac, etc.).

a. The analyst makes an early forecast and is concerned only with accuracy.

b. The analyst is not concerned only with accuracy.

c. The analyst is from a small brokerage firm or makes an early forecast.

d. The analyst makes a late forecast and is not concerned only with accuracy.

Short Answer

Expert verified

a.AB

b.Ac

c.BC

d.BcAc

Step by step solution

01

Introduction

Probability is the chance or possibility that an event will occur, defined as the ratio of the number of positive instances to the total number of potential cases, assuming that all cases are equal. Consider the following event:

A=[theanalystisonlyconcernedwithmakinganaccurateforecast]B=[earlyinthequarter,theanalystmakestheforecast]C=[theanalystisformalargebrokeragefirm]

Two occurrences are complementary if one can happen only if the other does not happen. Consider the following complement event:

Ac=[theanalystisnotonlyconcernedwithaccurate,alsotheyareequallyinterestedintheirrelationshipwithmanagement.]Bc=[theanalystmakesalateforecast.]C=[theanalystisformalargebrokeragefirm.]

02

The analyst makes an early estimate with only accuracy is concerned

Consider the following event:

The analyst makes an early estimate and is just concerned with accuracy. This event represents a convergence of events. The analyst's primary interest is producing an accurate prognosis.

Therefore, the event is best described as follows:

AB

03

The analyst is not simply concerned with accuracy

In this event, the analyst is concerned with more than just accuracy. However, the event's complement is that the analyst is just concerned with making an accurate forecast.

Therefore, the event is best described as follows:

Ac

04

The analyst works for a small trading business or offers a preliminary forecast

In this event, the analyst is from a small brokerage firm or makes an early forecast is the union of the event. The forecast is made by the analyst early in the quarter.

Therefore, the event is best described as follows:

BC

05

The analyst produces a late forecast and isn't only concerned with accuracy

In this event, the analyst makes a late forecast and is not just concerned with accuracy but also with the intersection of the events. The analyst is concerned with more than just accuracy. These two occurrences are referred to as Bcand Ac.

Therefore, the event is best described as follows:

BcAc

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Most popular questions from this chapter

For two events, A and B, P(A)= .4, P(B)= .2 , and P(AB) = .1:

a. Find P (A/B).

b. Find P(B/A).

c. Are A and B independent events?

World Cup soccer match draws. Every 4 years the world’s 32 best national soccer teams compete for the World Cup. Run by FIFA (Fédération Internationale de Football Association), national teams are placed into eight groups of four teams, with the group winners advancing to play for the World Cup. Chance(Spring 2007) investigated the fairness of the 2006 World Cup draw. Each of the top 8 seeded teams (teams ranked 1–8, called pot 1) were placed into one of the eight groups (named Group A, B, C, D, E, F, G, and H). The remaining 24 teams were assigned to 3 pots of 8 teams each to achieve the best possible geographic distribution between the groups. The teams in pot 2 were assigned to groups as follows: the first team drawn was placed into Group A, the second team drawn was placed in to Group B, etc. Teams in pots 3 and 4 were assigned to the groups in similar fashion. Because teams in pots 2–4 are not necessarily placed there based on their world ranking, this typically leads to a “group of death,” i.e., a group involving at least two highly seeded teams where only one can advance.

  1. In 2006, Germany (as the host country) was assigned as the top seed in Group A. What is the probability that Paraguay (with the highest ranking in pot 2) was assigned to Group A?
  2. Many soccer experts viewed the South American teams (Ecuador and Paraguay) as the most dangerous teams in pot 2. What is the probability one of the South American teams was assigned to Group A?
  3. In 2006, Group B was considered the “group of death,” with England (world rank 2), Paraguay (highest rank in pot 2), Sweden (2nd highest rank in pot 3), and Trinidad and Tobago. What is the probability that Group B included the team with the highest rank in pot 2 and the team with one of the top two ranks in pot 3?
  4. In drawing teams from pot 2, there was a notable exception in 2006. If a South American team (either Ecuador or Paraguay) was drawn into a group with another South American team, it was automatically moved to the next group. This rule impacted Group C (Argentina as the top seed) and Group F (Brazil as the top seed), because they already had South American teams, and groups that followed these groups in the draw. Now Group D included the eventual champion Italy as its top seed. What is the probability that Group D was not assigned one of the dangerous South American teams in pot 2?

Are you really being served red snapper? Red snapper is arare and expensive reef fish served at upscale restaurants. Federal law prohibits restaurants from serving a cheaper, look-alike variety of fish (e.g., vermillion snapper or lane snapper) to customers who order red snapper. Researchers

at the University of North Carolina used DNA analysis to examine fish specimens labeled “red snapper” that were purchased from vendors across the country (Nature, July 15, 2004). The DNA tests revealed that 77% of the specimens were not red snapper but the cheaper, look-alike variety of fish.

a. Assuming the results of the DNA analysis are valid, what is the probability that you are actually served red snapper the next time you order it at a restaurant?

b. If there are five customers at a chain restaurant, all who have ordered red snapper, what is the probability that at least one customer is actually served red snapper?

Performance-based logistics. Refer to the Journal of Business Logistics (Vol. 36, 2015) study of performance-based logistics (PBL) strategies, Exercise 1.15 (p. 49). Recall that the study was based on the opinions of a sample of 17 upper-level employees of the U.S. Department of Defense and its suppliers. The current position (e.g., vice president, manager), type of organization (commercial or government), and years of experience for each team member interviewed are listed below. Suppose we randomly select one of these interviewees for more in-depth questioning on PBL strategies.

a. What is the probability that the interviewee works for a government organization?

b. What is the probability that the interviewee has at least 20 years of experience?

Interviewee

Position

Organization

Experience (years)

1

Vice president

Commercial

30

2

Postproduction

Government

15

3

Analyst

Commercial

10

4

Senior manager (mgr.)

Government

30

5

Support chief

Government

30

6

Specialist

Government

25

7

Senior analyst

Commercial

9

8

Division chief

Government

6

9

Item mgr.

Government

3

10

Senior mgr.

Government

20

11

MRO mgr.

Government

25

12

Logistics mgr.

Government

30

13

MRO mgr.

Commercial

10

14

MRO mgr.

Commercial

5

15

MRO mgr.

Commercial

10

16

Specialist

Government

20

17

Chief

Government

25

The outcomes of two variables are (Low, Medium, High) and (On, Off), respectively. An experiment is conducted in which the outcomes of each of the two variables are observed. The accompanying two-way table gives the probabilities associated with each of the six possible outcome pairs.

Low

Medium

High

On

.50

.10

.05

Off

.25

.07

.03

Consider the following events:

A: {On}

B: {Medium or on}

C: {Off and Low}

D: {High}

a. Find P (A).

b. Find P (B).

c. Find P (C).

d. Find P (D).

e. FindP(AC).

f. FindP(AB).

g. FindP(AB).

h. Consider each pair of events (A and B, A and C, A and D, B and C, B and D, C and D). List the pairs of events that are mutually exclusive. Justify your choices.

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