/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q21E An insurance company offers four... [FREE SOLUTION] | 91影视

91影视

An insurance company offers four different deductible levels鈥攏one, low, medium, and high鈥攆or its home owner鈥檚 policy holders and three different levels鈥攍ow, medium, and high鈥攆or its automobile policyholders. The accompanying table gives proportions for the various categories of policyholders who have both types of insurance. For example, the proportion of individuals with both low homeowner鈥檚 deductible and low auto deductible is .06(6% of all such individuals).

贬辞尘别辞飞苍别谤鈥檚

Auto N L M H

L .04 .06 .05 .03

M .07 .10 .20 .10

H .02 .03 .15 .15

Suppose an individual having both types of policies is randomly selected.

a. What is the probability that the individual has a medium auto deductible and a high homeowner鈥檚 deductible?

b. What is the probability that the individual has a low auto deductible? A low homeowner鈥檚 deductible?

c. What is the probability that the individual is in the same category for both auto and homeowner鈥檚 deductibles?

d. Based on your answer in part (c), what is the probability that the two categories are different?

e. What is the probability that the individual has at least one low deductible level?

f. Using the answer in part (e), what is the probability that neither deductible level is low?

Short Answer

Expert verified

a. The probability that the individual has a medium auto deductible and a high homeowner鈥檚 deductible is 0.10.

b. The probability that the individual has a low auto deductible is 0.18.

The probability that the individual has a low homeowner鈥檚 deductible is 0.19.

c. The probability that the individual is in the same category for both auto and homeowner鈥檚 deductibles is 0.41.

d. The probability that the two categories are different is 0.59.

e. The probability that the individual has at least one low deductible level is 0.31.

f. The probability that neither deductible level is low is 0.69.

Step by step solution

01

Given information

The proportions for the various categories of policyholders who have both types of insurance are provided.

02

Compute the probability

a.

Using the provided table,

The probability that the individual has a medium auto deductible and a high homeowner鈥檚 deductible is computed as,

\(P\left( {Auto\;M \cap Homeowner\;H} \right) = 0.10\)

Therefore, the probability that the individual has a medium auto deductible and a high homeowner鈥檚 deductible is 0.10.

b.

Using the provided table,

The probability that the individual has a low auto deductible is computed as,

\(\begin{aligned}P\left( {Auto\;L} \right) &= P\left( {Auto\;L \cap Homeowner\;N} \right) + P\left( {Auto\;L \cap Homeowner\;L} \right) + ... + P\left( {Auto\;L \cap Homeowner\;H} \right)\\ &= 0.04 + 0.06 + 0.05 + 0.03\\ &= 0.18\end{aligned}\)

Therefore, the probability that the individual has a low auto deductible is 0.18.

The probability that the individual has a low homeowner鈥檚 deductible is computed as,

\(\begin{aligned}P\left( {Homeowner\;L} \right) &= P\left( {Homeowner\;L \cap \;Auto\;L} \right) + P\left( {Homeowner\;L \cap \;Auto\;M} \right) + P\left( {Homeowner\;L \cap \;Auto\;H} \right)\\ &= 0.06 + 0.10 + 0.03\\ &= 0.19\end{aligned}\)

Therefore, the probability that the individual has a low homeowner鈥檚 deductible is 0.19.

c.

The probability that the individual is in the same category for both auto and homeowner鈥檚 deductibles is computed as,

\(\begin{aligned}P\left( {Homeowner\;L \cap \;Auto\;L} \right) + P\left( {Homeowner\;M \cap \;Auto\;M} \right) + P\left( {Homeowner\;H \cap \;Auto\;H} \right) = 0.06 + 0.20 + 0.15\\ = 0.41\end{aligned}\)

Therefore, the probability that the individual is in the same category for both auto and homeowner鈥檚 deductibles is 0.41.

d.

Using part c,

The probability that the two categories are different is computed as,

\(\begin{aligned}P\left( {two\;different\;categories} \right) &= 1 - \left( {P\left( {Homeowner\;L \cap \;Auto\;L} \right) + P\left( {Homeowner\;M \cap \;Auto\;M} \right) + P\left( {Homeowner\;H \cap \;Auto\;H} \right)} \right)\\ &= 1 - \left( {0.06 + 0.20 + 0.15} \right)\\ &= 1 - 0.41\\ &= 0.59\end{aligned}\)

Therefore, the probability that the two categories are different is 0.59.

e.

The individual has at least one low deductible level will include the events of,

\(\left( {Homeowner\;L \cap \;Auto\;L} \right)\),\(\left( {Homeowner\;L \cap \;Auto\;M} \right)\),\(\left( {Homeowner\;L \cap \;Auto\;H} \right)\),

\(\left( {Homeowner\;N \cap \;Auto\;L} \right)\),\(\left( {Homeowner\;M \cap \;Auto\;L} \right)\),\(\left( {Homeowner\;H \cap \;Auto\;L} \right)\)

The probability that the individual has at least one low deductible level is computed as,

\(\begin{aligned}P\left( {Homeowner\;L \cap \;Auto\;L} \right) + P\left( {Homeowner\;L \cap \;Auto\;M} \right) + ... + P\left( {Homeowner\;H \cap \;Auto\;L} \right) &= 0.06 + 0.10 + 0.03 + 0.04 + 0.05 + 0.03\\ &= 0.31\end{aligned}\)

Therefore, the probability that the individual has at least one low deductible level is 0.31.

f.

Using part e,

The probability that neither deductible level is low is computed as,

\(\begin{aligned}1 - \left( {P\left( {Homeowner\;L \cap \;Auto\;L} \right) + P\left( {Homeowner\;L \cap \;Auto\;M} \right) + ... + P\left( {Homeowner\;H \cap \;Auto\;L} \right)} \right) &= 1 - 0.31\\ &= 0.69\end{aligned}\)

Thus, the probability that neither deductible level is low is 0.69.

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 91影视!

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

In five-card poker, a straight consists of five cards with adjacent denominations (e.g., \({\rm{9}}\)of clubs, \({\rm{10}}\)of hearts, jack of hearts, queen of spades, and king of clubs). Assuming that aces can be high or low, if you are dealt a five-card hand, what is the probability that it will be a straight with high card \({\rm{10}}\)? What is the probability that it will be a straight? What is the probability that it will be a straight flush (all cards in the same suit)?

Again, consider a Little League team that has \({\rm{15}}\) players on its roster.

a. How many ways are there to select \({\rm{9}}\) players for the starting lineup?

b. How many ways are there to select \({\rm{9}}\)players for the starting lineup and a batting order for the \({\rm{9}}\) starters?

c. Suppose \({\rm{5}}\) of the \({\rm{15}}\) players are left-handed. How many ways are there to select \({\rm{3}}\) left-handed outfielders and have all \({\rm{6}}\) other positions occupied by right-handed players?

Four universities鈥1, 2, 3, and 4鈥攁re participating in a holiday basketball tournament. In the first round, 1 will play 2 and 3 will play 4. Then the two winners will play for the championship, and the two losers will also play. One possible outcome can be denoted by 1324 (1 beats 2 and 3 beats 4 in first-round games, and then 1 beats 3 and 2 beats 4).

a. List all outcomes in S.

b. Let A denote the event that 1 wins the tournament. List outcomes in A.

c. Let Bdenote the event that 2 gets into the championship game. List outcomes in B.

d. What are the outcomes in A\( \cup \)B and in A\( \cap \)B? What are the outcomes in A鈥?

A quality control inspector is examining newly produced items for faults. The inspector searches an item for faults in a series of independent fixations, each of a fixed duration. Given that a flaw is actually present, let p denote the probability that the flaw is detected during any one fixation (this model is discussed in 鈥淗uman Performance in Sampling Inspection,鈥 Human Factors, \({\rm{1979: 99--105)}}{\rm{.}}\)

a. Assuming that an item has a flaw, what is the probability that it is detected by the end of the second fixation (once a flaw has been detected, the sequence of fixations terminates)?

b. Give an expression for the probability that a flaw will be detected by the end of the nth fixation.

c. If when a flaw has not been detected in three fixations, the item is passed, what is the probability that a flawed item will pass inspection?

d. Suppose \({\rm{10\% }}\) of all items contain a flaw (P(randomly chosen item is flawed) . \({\rm{1}}\)). With the assumption of part (c), what is the probability that a randomly chosen item will pass inspection (it will automatically pass if it is not flawed, but could also pass if it is flawed)?

e. Given that an item has passed inspection (no flaws in three fixations), what is the probability that it is actually flawed? Calculate for \({\rm{p = 5}}\).

A mutual fund company offers its customers a varietyof funds: a money-market fund, three different bond funds (short, intermediate, and long-term), two stock funds (moderate and high-risk), and a balanced fund.

Among customers who own shares in just one fund,the percentages of customers in the different funds areas follows:

Money-market 20% High-risk stock 18%

Short bond 15% Moderate-risk stock 25%

Intermediate bond 10% Balanced 7%

Long bond 5%

A customer who owns shares in just one fund is randomlyselected.

a. What is the probability that the selected individualowns shares in the balanced fund?

b. What is the probability that the individual owns shares in a bond fund?

c. What is the probability that the selected individual does not own shares in a stock fund?

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.