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Probability and Statistics: Homework and Quiz Review - Week 2, Quizzes of Mathematics

A comprehensive review of key concepts in probability and statistics, covering topics such as probability distributions, contingency tables, and binomial distributions. It includes a series of exercises with detailed answers, making it a valuable resource for students seeking to solidify their understanding of these fundamental concepts.

Typology: Quizzes

2023/2024

Available from 12/18/2024

Milestonee
Milestonee 🇺🇸

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Week 2 Homework and Quiz Review
1. True/False. 2.13 in valid probability. ANSWER: False
2. True/False. The union of two events is the probability of both events occurring. ANSWR: False
3. Determine if each variable below is discrete or continuous:
Number of cars in the parking lot. ANSWER: Discrete
Width of tree trunk. ANSWER: Continuous
4. Given: We have a sample space S with several events defined on it. S={2, 4, 6, 7, 9, 12}. And the
events are X={2, 6, 7} and Y={4, 6, 12}.
What is contained in X Y? ANSWER: {6}
What is contained in X U Y? ANSWER: {2, 4, 6, 7, 12}
What is the complement of Y (NOT in Y) compare to original set? ANSWER: {2, 7, 9}
5. Consider the following probability of distribution of number of people we are likely to
find waiting in line at a restaurant.
Number waiting P(x)
0 .50
1 .30
2 .10
3 .10
What is the average (mean)? ANSWER: 0.80
What is the standard deviation? ANSWER: 0.98
What is P(x=1)? ANSWER: 0.30
What is P(x>1)? ANSWR: 0.20
6. Consider the following contingency table in which a sample of companies is summarized
in terms of the company’s industry type (manufacturing and retail) and country (US,
Canada, Mexico).
Manufacturin
g
Retail TOTAL
US 10 15 25
Canada 7 4 11
Mexico 6 3 9
TOTAL 23 22 45
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Week 2 Homework and Quiz Review

  1. True/False. 2.13 in valid probability. ANSWER: False
  2. True/False. The union of two events is the probability of both events occurring. ANSWR: False
  3. Determine if each variable below is discrete or continuous:
    • Number of cars in the parking lot. ANSWER: Discrete
    • Width of tree trunk. ANSWER: Continuous
  4. Given: We have a sample space S with several events defined on it. S={2, 4, 6, 7, 9, 12}. And the events are X={2, 6, 7} and Y={4, 6, 12}. - What is contained in X Y? ANSWER: {6} - What is contained in X U Y? ANSWER: {2, 4, 6, 7, 12} - What is the complement of Y (NOT in Y) compare to original set? ANSWER: {2, 7, 9}
  5. Consider the following probability of distribution of number of people we are likely to find waiting in line at a restaurant. Number waiting P(x) 0. 1. 2. 3.
  • What is the average (mean)? ANSWER: 0.
  • What is the standard deviation? ANSWER: 0.
  • What is P(x=1)? ANSWER: 0.
  • What is P(x>1)? ANSWR: 0.
  1. Consider the following contingency table in which a sample of companies is summarized in terms of the company’s industry type (manufacturing and retail) and country (US, Canada, Mexico). Manufacturin g Retail TOTAL US 10 15 25 Canada 7 4 11 Mexico 6 3 9 TOTAL 23 22 45
  • If a company is selected randomly, what is the probability that it is in Canada? ANSWER: P(Canada) = 11/45 = 0.
  • If a company is randomly selected from this group, what is the probability that it is located in Canada and is a retail business? ANSWER: P(Canada Retail) = 4/45 = 0.09 7. Given: P(D) = .20, P(E) = .13, P(D∩E) = .11.
  • Find P(D U E). ANSWER: P(D) + P(E) - P(D∩E) = 0.20 + 0.13 - 0.11 = 0.
  • Find P(D’). ANSWER: 1 – P(D) = 1 - 0.20 = 0.
  1. Let N be the event that a person has house in North Dakota, and let F be the event that a person has a house in Florida. It is known that 5% of all people have a house in North Dakota and 12% have a house in Florida. This includes 3% that have a house in both states. NOTE: P(N)=.05 P(F)=.12 P(N ∩ F) =.
  • Find the probability that among all people, a person has a house in Florida and also in North Dakota. ANSWER: P(N F) = 0.03 (this is given)
  • Find the probability that person has a house in either North Dakota or Florida or both? ANSWER: P(N U F) = P(N) + P(F) – P(∩F) = 0.05 + 0.12 – 0.03 = 0.
  1. Assume that 40% of the students who study “hard” get A’s. If the probability that someone studies “hard” is 30%, what is the probability that some studies “hard” and gets and A. ANSWER: Given - P(A|H) = 0.40, P(H) = 0.30. Find P(H∩A). P(H∩A) = P(H) * P(A|H) = 0.30 * 0.40 = 0.
  2. In a certain binomial distribution problem, n=20 and p=0.10.
  • What is the average (mean)? ANSWER: 2.
  • What is the standard deviation? ANSWER: 1.
  • Find the probability that x is equal to 3. ANSWER: 0.
  1. We roll a die 5 times, what is the probability we will get three 2’s.? ANSWER: Binomial problem. n=5, p=1/6=0.1666667 P(X=3) = 0.
  2. I participate in 13 races. If the chance of me winning a race is 8%, what the probability that I win exactly 2 races? ANSWER: Binomial problem. n=13, p= 0.08. P(x=2) = 0.
  3. A company produces 5000 rulers per day. It is known that at certain ruler factory, 10% of the rulers produced are not accurate. We take a random sample of 50 rulers.
  • What is the probability that exactly four rulers are not accurate? ANSWER: Binomial problem. n=50, p=0.10. P(x=4) =
  • What is the probability fewer that 8 rulers are accurate? ANSWER: P(x<8) = 0.
  • What is the average (mean)? ANSWER: 5.
  • What is the standard deviation? ANSWER: 2.