Before looking at these solutions, please work the practice quiz.
Disclaimer: This quiz is representative of the level of difficulty you should expect, but it doesn’t include every single topic from the week’s work. The real quiz may include some other topics and may skip some that are in this practice quiz. (The real quiz also may not word questions in the same way as the practice quiz. You should focus on the concepts, not a particular form of words.)
See also: How to Take a Math Test
These solutions show about the same level of work I expect from you, though I often add some extra commentary. Please see Show Your Work for the what, why, and how.
Answer:
Remark: Remember your two interpretations: probability of one = proportion of all.
Solution: (a)
| S = { | HHH HTH THH TTH | } |
|---|---|---|
| HHT HTT THT TTT |
(b) Three events out of eight equally likely events: P(2H) = 3/8
Common mistake: Sometimes students write the sample space correctly but miss one of the combinations of 2 heads. I wish I could offer some “magic bullet” for counting correctly, but the only advice I have is just to be really careful.
Solution: (a) P(not A) = 1−P(A) = 1−0.7
→ P(not A) = 0.3
(b) That A and B are complementary means that one or the other
must happen, but not both. Therefore P(B) = P(not A)
→ P(B) = 0.3
(c) Since the events are complementary, they can’t both happen:
P(A and B) = 0
Common mistake: Many students get (c) wrong, giving an answer of 1. If events are complementary, they can’t both happen at the same time. That means P(A and B) must be 0, the probability of something impossible.
Maybe those students were thinking of P(A or B). It’s true that if A and B are complementary then P(A or B) = P(A) + P(B) = 1. But part (c) was about probability and, not probability or.
“Ace” and “spade” are non-disjoint events, since a given card can be both an ace and a spade. Therefore, you have not learned in class how to solve this problem. Your answer: non-disjoint events; can’t find probability “or”. Keep reading if you’re interested in this on your own.
Solution:
P(Ace or Spade) = P(Ace) + P(Spade) − P(Ace and Spade)
P(Ace or Spade) = 4/52 + 13/52 − 1/52
P(Ace or Spade) = 16/52
Solution: (a) There are 6 ways to roll doubles, and the sample space is 36 equally likely events.
P(doubles on 1 roll) = 6/36 = 1/6
(b) Successive rolls are independent events, so you use the simple multiplication rule:
P(doubles three times) = P(doubles) × P(doubles) × P(doubles)
P(doubles three times) = (1/6) × (1/6) × (1/6) = 1/216 or about 0.0046
Solution: “Nursing” and “liberal arts” are disjoint events, so you can use the simple addition rule:
P(N or LA) = P(N) + P(LA)
To find those probabilities, you might find it easier to think of them as proportions of the group instead of probabilities for one student. To find the proportions of nursing and liberal arts students, compute the sample size:
62 + 45 + 12 + 8 + 10 + 63 = 200
P(N or LA) = P(N) + P(LA)
P(N or LA)= 62/200 + 63/200 = 125/200 or 5/8 or 0.625
Solution: This looks quite messy, but really it’s not. You’re given the probability of each independent device failing, and you need to know whether the program gets recorded. But since you have failure probabilities of the devices, it’s easy to compute the probability that the program doesn’t get recorded, and that’s just the complement of the event you want. Remember, the complement is your friend when you suspect that a probability computation is more complicated than it needs to be.
The success or failure of the Tivo and VCR are independent, so you can use the simple multiplication rule for probability “and”:
P(both fail) = P(Tivo fails) × P(VCR fails) = 0.2 × 0.3 = 0.06
P(one or both records) = 1 − P(both fail) = 1−0.06 = 0.94 or 94%
Solution: You’re being asked about all three possibilities: two fail, one fails, none fail. Therefore the three probabilities must add up to 1, and you need to compute only two of them. It’s also important to note that the companies are independent: whether one fails has nothing to do with whether the other fails.
(a) Since the companies are independent, you can use the simple multiplication rule:
P(A bankrupt and W bankrupt) = P(A bankrupt) × P(W bankrupt)
P(A bankrupt and W bankrupt) = .9 × .8 = 0.72
At this point you could compute (b), but it’s hard: you need the probability that A fails and W is okay, plus the probability that A is okay and W fails. (c) looks easier, so do that first.
(c) “Neither bankrupt” means both are okay. Again, the events are independent so you can use the simple multiplication rule.
P(neither bankrupt) = P(A okay and W okay)
P(A okay) = 1−.9 = 0.1; P(W okay) = 1−.8 = 0.2
P(neither bankrupt) = .1 × .2 = 0.02
(b) is now a piece of cake.
P(only one bankrupt) = 1 − P(both bankrupt) − P(none bankrupt)
P(only one bankrupt) = 1 − .72 − .02 = 0.26
Solution: If you have time, it’s always good to check your work using a different method. You can work out (b) the long way. You have only independent events (whether A is okay or fails, whether W is okay or fails) and disjoint events (A fails and W okay, A okay and W fails). The “okay” probabilities were computed in part (c).
P(only one bankrupt) = (A bankrupt and W okay) or (A okay and W bankrupt)
P(only one bankrupt) = (.9 × .2) + (.1 × .8) = 0.26
Common mistake: A very common mistake is to solve only half the problem when working this out the long way. When you have probability of one not the other, you have to consider both A-and-not-W and W-and-not-A.
Remark: If you computed all three probabilities the long way, pause a moment to check your work by adding them to make sure you get 1. Whenever possible, check your work with a second type of computation.
Solution: In “at least” and “no more than” probability problems, the complement is often your friend. The complement of “at elast one had not attended” is “all had attended”. If the fans are randomly selected, their opinions are independent and you can use the simple multiplication rule.
P(all 5 attended) = 0.45^5 = 0.0185
P(at least 1 had not attended) = 1 − 0.0185 = 0.9815
Solution: This is a probability “and”, so you need independent events. But you don’t have any basis to think that fans who attend games in person have the same opinions as fans who do not. In other words, you don’t know that “attended a game within the past year” and “favors drug testing” are independent events. Answer: events may not be independent; can’t solve
| Service type | Prob. |
|---|---|
| Landline only | 37.4% |
| Landline and cell | 58.2% |
| Cell only | 2.8% |
| No phone | 1.6% |
| Total | 100.0% |
Solution: (a)In a probability model, the probabilities must add to 1 (= 100%). The given probabilities add to 62.6%. What is the missing 37.4%? They’ve accounted for cell and landline, cell only, and nothing; the remaining possibility is landline only. The model is shown at right.
(b)
P(Landline) = P(Landline only) + P(Landline and cell)
P(Landline) = 37.4% + 58.2% = 95.6%
Remark: “Landline” and “cell” are not disjoint events, because a given household could have both. But “landline only” and “landline and cell” are disjoint, because a given house can’t both have a cell phone with landline and have no cell phone with landline.
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