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Math 201 Probability and Statistics 1. Allergic reactions to poison ivy can be miserable. Plant oils cause the reaction. Researchers at Allergy Institute did a study to determine the effects of...

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Math 201 Probability and Statistics
1. Allergic reactions to poison ivy can be miserable. Plant oils cause the reaction. Researchers at Allergy Institute did a study to determine the effects of washing the oil off within 5 minutes of exposure. A random sample of 1000 people with known allergies to poison ivy participated in the study. Oil from the poison ivy plant was ru
ed on a patch of skin. For 500 of the subjects, it was washed off within 5 minutes. For the other 500 subjects, the oil was washed off after 5 minutes. The results are summarized in the following table.
    Reaction
    Within 5 Minutes
    After 5 Minutes
    Row Total
    None
Mild
Strong
    402
51
47
    60
323
117
    462
374
164
    Column Total
    500
    500
    1000
Let's use the following notation for the various events: W = washing oil off within 5 minutes, A = washing oil off after 5 minutes, N = no reaction, M = mild reaction, S = strong reaction. Find the following probabilities for a person selected at random from this sample of 1000 subjects. (Use 3 decimal places.)
    (a)
    P(N)
    
    
    P(M)
    
    
    P(S)
    
    (b)
    P(N | W)
    
    
    P(S | W)
    
    (c)
    P(N | A)
    
    
    P(S | A)
    
    (d)
    P(N and W)
    
    
    P(M and W)
    
(e) P(N or M). 
 
Are the events N = no reaction and M = mild reaction mutually exclusive? Explain.
No. P(N or M) ≠ 0.Yes. P(N and M) = 0.    Yes. P(N or M) = 0.No. P(N and M) ≠ 0.
(f) Are the events N = no reaction and W = washing oil off within 5 minutes independent? Explain.
Yes. P(N and W) ≠ P(N) · P(W).Yes. P(N and W) = P(N) · P(W).    No. P(N and W) = P(N) · P(W).No. P(N and W) ≠ P(N) · P(W).
2. There is money to send two of nine city council members to a conference in Honolulu. All want to go, so they decide to choose the members to go to the conference by a random process. How many different combinations of two council members can be selected from the nine who want to go to the conference? 
3. To open a combination lock, you turn the dial to the right and stop at a number; then you turn it to the left and stop at a second number. Finally, you turn the dial back to the right and stop at a third number. If you used the co
ect sequence of numbers, the lock opens. If the dial of the lock contains 6 numbers, 0 through 5, determine the number of different combinations possible for the lock. Note: The same number can be reused consecutively. 
4. List the criteria for a binomial experiment. (Select all that apply.)
The probability of success on each trial is constant.The trials are independent.The trials have exactly three outcomes.The probability of success can change from trial to trial.The trials may have two or more outcomes.The trials are mutually exclusive.A fixed number of trials repeated under identical conditions.The trials have exactly two outcomes.
What does the random variable of a binomial experiment measure?
The random variable measures the number of trials until the 1st success.The random variable measures the number of failures in n trials.    The random variable measures the number of trials until the nth success.The random variable measures the number of successes in n trials.
5. Isle Royale, an island in Lake Superior, has provided an important study site of wolves and their prey. Of special interest is the study of the number of moose killed by wolves. In the period from 1958 to 1974, there were 296 moose deaths identified as wolf kills. The age distribution of the kills is as follows.
    Age of Moose in Years
    Number Killed by Wolves
    Calf (0.5 yr)
1-5
6-10
11-15
16-20
    107
55
76
53
5
(a) For each age group, compute the probability that a moose in that age group is killed by a wolf. (Round your answers to three decimal places.)
    0.5    
    
    1-5    
    
    6-10    
    
    11-15    
    
    16-20    
    
(b) Consider all ages in a class equal to the class midpoint. Find the expected age of a moose killed by a wolf and the standard deviation of the ages. (Round your answers to two decimal places.)
    Î¼
    =
    
    Ïƒ
    =
    
6. A stationary store has decided to accept a large shipment of ball-point pens if an inspection of 19 randomly selected pens yields no more than two defective pens.
(a) Find the probability that this shipment is accepted if 10% of the total shipment is defective. (Use 3 decimal places.)
 
(b) Find the probability that this shipment is not accepted if 15% of the total shipment is defective. (Use 3 decimal places.)
    7. According to Harper's Index, 50% of all federal inmates are serving time for drug dealing. A random sample of 15 federal inmates is selected.
(a) What is the probability that 13 or more are serving time for drug dealing? (Round your answer to three decimal places.)
 
(b) What is the probability that 4 or fewer are serving time for drug dealing? (Round your answer to three decimal places.)
 
(c) What is the expected number of inmates serving time for drug dealing? (Round your answer to one decimal place.)
    8. Describe a normal probability distribution. (Select all that apply.)
ell-shapedsymmetric around the meanmost of the data fall within 3 standard deviations from the meanbimodalmodels discrete random variablesuniform-shapedmean, median, and mode all equivalentskewed to the right
    
    9. According to the empirical rule, approximately what percentage of the area under a normal distribution lies within 1 standard deviation?
 %
Within 2 standard deviations?
 %
Within 3 standard deviations?
 %
    10. Given that x is a normal variable with mean μ = 44 and standard deviation σ = 6.2, find the following probabilities. (Round your answers to four decimal places.)
(a)  P(x ≤ 60)
 
(b)  P(x ≥ 50)
 
(c)  P(50 ≤ x ≤ 60)
 
    11. Find z such that 21% of the area under the standard normal curve lies to the right of z. (Round your answer to two decimal places.)
    12. The Customer Service Center in a large New York department store has determined that the amount of time spent with a customer about a complaint is normally distributed, with a mean of 9.5 minutes and a standard deviation of 2.4 minutes. What is the probability that for a randomly chosen customer with a complaint, the amount of time spent resolving the complaint will be as follows. (Round your answers to four decimal places.)
(a) less than 10 minutes
 
(b) longer than 5 minutes
 
(c) between 8 and 15 minutes
    13. Many people consider their smart phone to be essential! Communication, news, Internet, entertainment, photos, and just keeping cu
ent are all conveniently possible with a smart phone. However, the battery better be charged or the phone is useless. Battery life of course depends on the frequency, duration, and type of use. One study involving heavy use of the phones showed the mean of the battery life to be 9.75 hours with a standard deviation of 2.2 hours. Then the battery needs to be recharged. Assume the battery life between charges is normally distributed.
(a) Find the probability that with heavy use, the battery life exceeds 10 hours. (Round your answer to four decimal places.) 
 
(b) You are planning your recharging schedule so that the probability your phone will die is no more than 5%. After how many hours should you plan to recharge your phone? (Round your answer to the nearest tenth of an hour.) 
 hours 
    14. The University of Montana ski team has nine entrants in a men's downhill ski event. The coach would like the first, second, and third places to go to the team members. In how many ways can the nine team entrants achieve first, second, and third places? 
    15. Are customers more loyal in the East or in the West? The following table is based on information from a recent study. The columns represent length of customer loyalty (in years) at a primary supermarket. The rows represent regions of the United States.
    
    Less Than 1 Yea
    1-2 Years
    3-4 Years
    5-9 Years
    10-14 Years
    15 or More Years
    Row Total
    East
    32
    71
    59
    112
    77
    110
    461
    Midwest
    31
    43
    68
    120
    63
    183
    508
    South
    53
    101
    93
    158
    106
    171
    682
    West
    41
    75
    67
    78
    45
    96
    402
    Column Total
    157
    290
    287
    468
    291
    560
    2053
What is the probability that a customer chosen at random has the following characteristics? (Enter your answers as fractions.)
(a) has been loyal 10 to 14 years
 
(b) has been loyal 10 to 14 years, given that he or she is from the East
 
(c) has been loyal at least 10 years
 
(d) has been loyal at least 10 years, given that he or she is from the West
 
(e) is from the West, given that he or she has been loyal less than 1 yea
 
(f) is from the South, given that he or she has been loyal less than 1 yea
 
(g) has been loyal 1 or more years, given that he or she is from the East
 
(h) has been loyal 1 or more years, given that he or she is from the West
 
(i) Are the events from the East and loyal 15 or more years independent? Explain.
Yes. These events can occur together.No. P(loyal 15 or more years) ≠ P(loyal 15 or more years | East).    No. These events cannot occur together.Yes. P(loyal 15 or more years) = P(loyal 15 or more years | East).
    16. Sociologists say that 80% of ma
ied women claim that their husband's mother is the biggest bone of contention in their ma
iages (sex and money are lower-rated areas of contention). Suppose that nine ma
ied women are having coffee together one morning. Find the following probabilities. (Round your answers to three decimal places.)
(a) All of them dislike their mother-in-law. 
 
(b) None of them dislike their mother-in-law. 
 
(c) At least seven of them dislike their mother-in-law. 
 
(d) No more than six of them dislike their mother-in-law. 
        17. Police response time to an emergency call is the difference between the time the call is first received by the dispatcher and the time a patrol car radios that it has a
ived at the scene. Over a long period of time, it has been determined that the police response time has a normal distribution with a mean of 7.6 minutes and a standard deviation of 2.3minutes. For a randomly received emergency call, find the following probabilities. (Round your answers to four decimal places.)
(a) the response time is between 3 and 9 minutes 
 
(b) the response time is less than 3 minutes 
 
(c) the response time is more than 9 minutes 
Mat
h 201
Pro
ability

and St
atistics
1.

Allergic reactions to poison ivy can be miserable. Plant oils cause the reaction.
Researchers at Allergy Institute did a study to determine the effects of washing the
oil off within 5 minutes of exposure. A random sample of 1000 people with know
n
allergies

to poison ivy participated in the study. Oil from the poison ivy plant was
u
ed on a patch of skin. For 500 of the subjects, it was washed off

within

5
minutes. For the other 500 subjects, the oil was washed off

Answered Same Day Mar 18, 2021

Solution

Mohammad Wasif answered on Mar 19 2021
161 Votes
Math 201 Probability and Statistics
1. Allergic reactions to poison ivy can be miserable. Plant oils cause the reaction. Researchers at Allergy Institute did a study to determine the effects of washing the oil off within 5 minutes of exposure. A random sample of 1000 people with known allergies to poison ivy participated in the study. Oil from the poison ivy plant was ru
ed on a patch of skin. For 500 of the subjects, it was washed off within 5 minutes. For the other 500 subjects, the oil was washed off after 5 minutes. The results are summarized in the following table.
    Reaction
    Within 5 Minutes
    After 5 Minutes
    Row Total
    None
Mild
Strong
    402
51
47
    60
323
117
    462
374
164
    Column Total
    500
    500
    1000
Let's use the following notation for the various events: W = washing oil off within 5 minutes, A = washing oil off after 5 minutes, N = no reaction, M = mild reaction, S = strong reaction. Find the following probabilities for a person selected at random from this sample of 1000 subjects. (Use 3 decimal places.)
    (a)
    P(N)
    
    
    P(M)
    
    
    P(S)
    
    (b)
    P(N | W)
    
    
    P(S | W)
    
    (c)
    P(N | A)
    
    
    P(S | A)
    
    (d)
    P(N and W)
    
    
    P(M and W)
    
(e) P(N or M). 
 
Are the events N = no reaction and M = mild reaction mutually exclusive? Explain.
No. P(N or M) ≠ 0.Yes. P(N and M) = 0.    Yes. P(N or M) = 0.No. P(N and M) ≠ 0.
(f) Are the events N = no reaction and W = washing oil off within 5 minutes independent? Explain.
Yes. P(N and W) ≠ P(N) · P(W).Yes. P(N and W) = P(N) · P(W).    No. P(N and W) = P(N) · P(W).No. P(N and W) ≠ P(N) · P(W).
2. There is money to send two of nine city council members to a conference in Honolulu. All want to go, so they decide to choose the members to go to the conference by a random process. How many different combinations of two council members can be selected from the nine who want to go to the conference? 
Solution:
Required number of combinations
3. To open a combination lock, you turn the dial to the right and stop at a number; then you turn it to the left and stop at a second number. Finally, you turn the dial back to the right and stop at a third number. If you used the co
ect sequence of numbers, the lock opens. If the dial of the lock contains 6 numbers, 0 through 5, determine the number of different combinations possible for the lock. Note: The same number can be reused consecutively. 
Solution:
Turing left and right will not influence the outcome as there are equal chances for any number out of 0 to 5.
So, by the rule, it will be product i.e. 6*6*6 = 216 combinations
4. List the criteria for a binomial experiment. (Select all that apply.)
The probability of success on each trial is constant.
The trials are independent.
The trials have exactly three outcomes.
The probability of success can change from trial to trial.
The trials may have two or more outcomes.
The trials are mutually exclusive.
A fixed number of trials repeated under identical conditions.
The trials have exactly two outcomes.
What does the random variable of a binomial experiment measure?
The random variable measures the number of trials until the 1st success.
The random variable measures the number of failures in n trials.
The random variable measures the number of trials until...
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