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?

Short Answer

Expert verified
  1. Two products contain all the characteristics. There are products 6 and 7.
  2. The probability is 0.2.
  3. The probability of union is 0.8.
  4. The probability of intersection is 0.3
  5. There are 45 ways possible.

Step by step solution

01

Important formula

The formula for probability is

P=FavourableoutcomesTotaloutcomesP(AC)=1P(A)

02

(a) Define characters as events

P = a product contains superior product characteristics

S = a product contains consumer satisfaction.

A = a product contains a competitive advantage.

Therefore, the events that contain all the characteristics are PSA).

Two products contain all the characteristics. There are products 6 and 7.

03

(b) The probability that it would possess all the desired characteristics? 

P(PSA)=P(6)+P(7)=110+110=0.2

So, the probability is 0.2.

04

(c) The probability of this union

P(AS)=P(2)+P(3)+P(5)+P(6)+P(7)+P(8)+P(9)+P(10)=110+110+110+110+110+110+110+110=810=0.8

Accordingly, the probability of union is 0.8.

05

(d) The probability of this intersection.

P(PS)=P(3)+P(6)+P(7)=110+110+110=310=0.3

Hence, the probability of intersection is 0.3

06

(e) Find different pairs of products are possible

Now N =10 and r = 2 then

102=n!r!(nr)!=10!2!(102)!=10!2!8!=45

Therefore, there are 45 ways are possible.

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Most popular questions from this chapter

Monitoring quality of power equipment. Mechanical Engineering (February 2005) reported on the need for wireless networks to monitor the quality of industrial equipment. For example, consider Eaton Corp., a company that develops distribution products. Eaton estimates that 90% of the electrical switching devices it sells can monitor the quality of the power running through the device. Eaton further estimates that of the buyers of electrical switching devices capable of monitoring quality, 90% do not wire the equipment up for that purpose. Use this information to estimate the probability that an Eaton electrical switching device is capable of monitoring power quality and is wired up for that purpose.

A pair of fair dice is tossed. Define the following events:

A: [Exactly one of the dice shows a 1.]

B: [The sum of the numbers on the two dice is even.]

a. Identify the sample points in the events A,B,AB,AB,andAc.

b. Find the probabilities of all the events from part a by summing the probabilities of the appropriate sample points.

C. Using your result from part b, explain why A and B are not mutually exclusive.

d. Find P(AB) using the additive rule. Is your answer the same as in part b?

A sample space contains six sample points and events A, B, and C as shown in the Venn diagram. The probabilities of the sample points are

P (1) = .20, P (2) = .05, P (3) = .30, P (4) = .10,P (5) = .10, P (6) = .25.

a. Which pairs of events, if any, are mutually exclusive? Why?

b. Which pairs of events, if any, are independent? Why?

c. FindP (AB) by adding the probability of the sample points and then using the additive rule. Verify that the answers agree. Repeat forP (AC)

Compute each of the following:

a.94

b. 72

c. 44

d. (50)

e.(65)


Forensic evidence in a criminal court case. In our legal system,the use of DNA as forensic evidence is often regarded as the most reliable type of evidence. However, most of the DNA code is the same for all humans. Consequently, assessing the probability of the DNA code that varies among individuals is the key to a successful case. Chance (Vol. 28, 2015) published an article on the use of DNA in a criminal case. The evidence found at the crime scene consisted of two alleles (sequences of DNA code), denoted {6/9}. One of these alleles comes from the individual’s mother and one from the individual’s father, but it is not known which allele-6 or 9-is from which parent. In forensic science, it is assumed that the two outcomes (alleles) are independent.

  1. DNA taken from the suspect resulted in a sequence of {6/9}. Given the evidence (E) comes from the suspect, find the probability of a DNA sequence of {6/9}. This probability-denotedPEHp-is used by the prosecution to support a claim of guilt.
  2. In the general population, the probability of observing an allele of 6 is 0.21 and the probability of an allele 9 is 0.14. Given the evidence (E) comes from a randomly selected person in the general population, find the probability of a DNA sequence of {6/9}. This probability-denotedPEHd-is used by the defense to support the suspect’s claim of not guilty.
  3. In a court of law, the likelihood ratioPEHp/PEHdis used to help decide the case. A ratio greater than 1 supports the prosecution, while a ratio less than 1 supports the defendant. Compute this likelihood ratio from the results in parts a and b and use it to make an inference.
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