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Likelihood of a tax return audit. At the beginning of each year, the Internal Revenue Service (IRS) releases information on the likelihood of a tax return being audited. In 2013, the IRS audited 1,242,479 individual tax returns from 145,236,429 filed returns; also, the IRS audited 25,905 returns from the total of 1,924,887 corporation returns filed (IRS 2014 Data Book).

a. Suppose an individual tax return is randomly selected. What is the probability that the IRS audited the return?

b. Refer to part a. Determine the probability that the IRS did not audit an individual return.

c. Suppose a corporation tax return is randomly selected. What is the probability that the IRS audited the return?

d. Refer to part c. Determine the probability that the IRS did not audit a corporation's return.

Short Answer

Expert verified

Answer

  1. 0.0088
  2. 0.9912
  3. 0.0134
  4. 0.9866

Step by step solution

01

Step-by-Step SolutionStep 1: Introduction

The probability is used to determine the likelihood of an event occurring. To clarify your position, probability refers to the possibility of an occurrence occurring.

Probability=Favourable outcomeTotal outcome

02

Find the probability of individual tax return was audited

P(individual return was audited)=12,42,47914,68,61,217=0.0088

Hence, the required probability is0.0088.

03

Find the probability that the individual tax return was not audited

P(individual return was not audited) = 1P(individual return was audited)= 10.0088= 0.9912

Hence, the required probability is0.9912.

04

Find the probability of corporation tax return was audited

P(corporation return was audited)=25,90519,24,887=0.0134

Hence, the required probability is0.0134.

05

Find the probability of corporation tax return was not audited

P(corporation return was not audited) = 1P(corporation return was audited)= 10.0134= 0.9866

Hence, the required probability is0.9866.

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Most popular questions from this chapter

Characteristics of a new product. The long-run success of a business depends on its ability to market products with superior characteristics that maximize consumer satisfaction and that give the firm a competitive advantage (Kotler & Keller, Marketing Management, 2015). Ten new products have been developed by a food-products firm. Market research has indicated that the 10 products have the characteristics described by the following Venn diagram:

  1. Write the event that a product possesses all the desired characteristics as an intersection of the events defined in the Venn diagram. Which products are contained in this intersection?
  2. If one of the 10 products were selected at random to be marketed, what is the probability that it would possess all the desired characteristics?
  3. Write the event that the randomly selected product would give the firm a competitive advantage or would satisfy consumers as a union of the events defined in the Venn diagram. Find the probability of this union.
  4. Write the event that the randomly selected product would possess superior product characteristics and satisfy consumers. Find the probability of this intersection.
  5. Two of the 10 products will be selected for an ad campaign. How many different pairs of products are possible?

Consider the experiment depicted by the Venn diagram, with the sample space S containing five sample points. The sample points are assigned the following probabilities:

P (E1) = .20, P (E2) = .30, P (E3)= .30, P (E4) = .10, P (E5) = .10.

a. Calculate P (A), P (B), and P (AB).

b. Suppose we know that event A has occurred, so that the reduced sample space consists of the three sample points in A—namely, E1, E2, and E3. Use the formula for conditional probability to adjust the probabilities of these three sample points for the knowledge that A has occurred [i.e., P (Ei/A)]. Verify that the conditional probabilities are in the same proportion to one another as the original sample point probabilities.

c. Calculate the conditional probabilityP (E1/A)in two ways: (1) Add the adjusted (conditional) probabilities of the sample points in the intersection AB, as these represent the event that B occurs given that A has occurred; (2) use the formula for conditional probability:

P (B/A) =P (AB)P (A)

Verify that the two methods yield the same result.

d. Are events A and B independent? Why or why not?

Ambulance response time.Geographical Analysis(Jan. 2010) presented a study of emergency medical service (EMS) ability to meet the demand for an ambulance. In one example, the researchers presented the following scenario. An ambulance station has one vehicle and two demand locations, A and B. The probability that the ambulance can travel to a location in under 8 minutes is .58 for location A and .42 for location B. The probability that the ambulance is busy at any point in time is .3.

a.Find the probability that EMS can meet the demand for an ambulance at location A.

b.Find the probability that EMS can meet the demand for an ambulance at location B.

Consider the Venn diagram in the next column, where

P(E1)=0.10,P(E2)=0.05,P(E3)=P(E4)=0.2,P(E5)=0.6,P(E6)=0.3,P(E7)=0.06andP(E8)=0.3

Find each of the following probabilities:

a.P(Ac)b.P(Bc)c.P(AcB)d.P(AB)e.P(AB)f.P(AcBc)

g. Are events A and B mutually exclusive? Why?

Museum management. Refer to the Museum Management and Curatorship (June 2010) study of the criteria used to evaluate museum performance, Exercise 2.14 (p. 74). Recall that the managers of 30 leading museums of contemporary art were asked to provide the performance measure used most often. A summary of the results is reproduced in the table. Performance Measure Number of Museums Total visitors 8 Paying visitors 5 Big shows 6 Funds raised 7 Members 4


Performance Measure

Number of Museums

Total visitors

8

Paying visitors

5

Big shows

6

Funds raised

7

Members

4

a. If one of the 30 museums is selected at random, what is the probability that the museum uses total visitors or funds raised most often as a performance measure?

b. Consider two museums of contemporary art randomly selected from all such museums. Of interest is whether or not the museums use total visitors or funds raised most often as a performance measure. Use a tree diagram to aid in listing the sample points for this problem.

c. Assign reasonable probabilities to the sample points of part b.

d. Refer to parts b and c. Find the probability that both museums use total visitors or funds raised most often as a performance measure.

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