Accredited Test Bank Solution For
Probability and Statistics for Computer
Scientists, 3rd Edition Baron [All Lessons
Included]
Complete Chapter Solution Manual
are Included (Ch.1 to Ch.11)
Rapid Download
Quick Turnaround
Complete Chapters Provided
, Table of Contents are Given Below
Here is the table of contents for Probability and Statistics for Computer Scientists, 3rd Edition by Michael Baron:
1. Introduction and Overview
Part I: Probability and Random Variables
2. Probability
3. Discrete Random Variables and Their Distributions
4. Continuous Distributions
5. Computer Simulations and Monte Carlo Methods
Part II: Stochastic Processes
6. Stochastic Processes
7. Queuing Systems
Part III: Statistics
8. Introduction to Statistics
9. Statistical Inference I
10. Statistical Inference II
11. Regression
This textbook provides a comprehensive introduction to probability and statistics with a focus on applications in
computer science. It covers fundamental concepts, stochastic modeling, simulation techniques, queuing theory,
statistical inference, and regression analysis. The third edition includes fully annotated R codes alongside
MATLAB examples, enhancing its utility for students and professionals in computer science, software
engineering, telecommunications, and related fields.
1. Basic Probability Concepts
Q1. What is the probability of rolling a fair six-sided die and getting a number greater than 4?
PAGE 1
,A) 1/6
B) 1/3
C) 1/2
D) 2/3
Answer: B) 1/3
Explanation: Numbers greater than 4 on a six-sided die are 5 and 6. There are 2 favorable outcomes out of 6
possible outcomes. Probability = 2/6 = 1/3.
Q2. If two independent events A and B have probabilities P(A) = 0.5 and P(B) = 0.4, what is P(A and B)?
A) 0.2
B) 0.9
C) 0.1
D) 0.5
Answer: A) 0.2
Explanation: For independent events, P(A and B) = P(A) × P(B) = 0.5 × 0.4 = 0.2.
Q3. What is the probability of drawing an ace or a king from a standard deck of 52 cards?
A) 1/13
B) 2/13
C) 4/13
D) 1/4
Answer: B) 2/13
Explanation: There are 4 aces and 4 kings in a deck, totaling 8 favorable outcomes. Probability = 8/52 = 2/13.
Q4. In probability theory, what does the term "complementary events" refer to?
A) Two events that can both occur simultaneously
B) Two events that cannot both occur simultaneously
C) Two events where one occurs if and only if the other does not
D) Two events that are independent
Answer: C) Two events where one occurs if and only if the other does not
Explanation: Complementary events are mutually exclusive and exhaustive; the occurrence of one implies the
non-occurrence of the other.
PAGE 2
, Q5. What is the probability of getting at least one head in two tosses of a fair coin?
A) 1/4
B) 1/2
C) 3/4
D) 1
Answer: C) 3/4
Explanation: Possible outcomes: HH, HT, TH, TT. Favorable outcomes: HH, HT, TH. Probability = 3/4.
2. Conditional Probability and Independence
Q6. If P(A|B) = P(A) and P(B) > 0, what can be inferred about events A and B?
A) A and B are dependent
B) A and B are independent
C) A is a subset of B
D) B is a subset of A
Answer: B) A and B are independent
Explanation: If P(A|B) = P(A), then the occurrence of B does not affect the probability of A, indicating
independence.
Q7. Given P(A) = 0.3, P(B) = 0.5, and P(A ∩ B) = 0.15, what is P(A|B)?
A) 0.15
B) 0.3
C) 0.5
D) 0.75
Answer: D) 0.75
Explanation: P(A|B) = P(A ∩ B) / P(B) = 0..5 = 0.3.
Correction: There is a mistake in the explanation.
Correct Explanation: P(A|B) = P(A ∩ B) / P(B) = 0..5 = 0.3.
Correct Answer: B) 0.3
PAGE 3
Probability and Statistics for Computer
Scientists, 3rd Edition Baron [All Lessons
Included]
Complete Chapter Solution Manual
are Included (Ch.1 to Ch.11)
Rapid Download
Quick Turnaround
Complete Chapters Provided
, Table of Contents are Given Below
Here is the table of contents for Probability and Statistics for Computer Scientists, 3rd Edition by Michael Baron:
1. Introduction and Overview
Part I: Probability and Random Variables
2. Probability
3. Discrete Random Variables and Their Distributions
4. Continuous Distributions
5. Computer Simulations and Monte Carlo Methods
Part II: Stochastic Processes
6. Stochastic Processes
7. Queuing Systems
Part III: Statistics
8. Introduction to Statistics
9. Statistical Inference I
10. Statistical Inference II
11. Regression
This textbook provides a comprehensive introduction to probability and statistics with a focus on applications in
computer science. It covers fundamental concepts, stochastic modeling, simulation techniques, queuing theory,
statistical inference, and regression analysis. The third edition includes fully annotated R codes alongside
MATLAB examples, enhancing its utility for students and professionals in computer science, software
engineering, telecommunications, and related fields.
1. Basic Probability Concepts
Q1. What is the probability of rolling a fair six-sided die and getting a number greater than 4?
PAGE 1
,A) 1/6
B) 1/3
C) 1/2
D) 2/3
Answer: B) 1/3
Explanation: Numbers greater than 4 on a six-sided die are 5 and 6. There are 2 favorable outcomes out of 6
possible outcomes. Probability = 2/6 = 1/3.
Q2. If two independent events A and B have probabilities P(A) = 0.5 and P(B) = 0.4, what is P(A and B)?
A) 0.2
B) 0.9
C) 0.1
D) 0.5
Answer: A) 0.2
Explanation: For independent events, P(A and B) = P(A) × P(B) = 0.5 × 0.4 = 0.2.
Q3. What is the probability of drawing an ace or a king from a standard deck of 52 cards?
A) 1/13
B) 2/13
C) 4/13
D) 1/4
Answer: B) 2/13
Explanation: There are 4 aces and 4 kings in a deck, totaling 8 favorable outcomes. Probability = 8/52 = 2/13.
Q4. In probability theory, what does the term "complementary events" refer to?
A) Two events that can both occur simultaneously
B) Two events that cannot both occur simultaneously
C) Two events where one occurs if and only if the other does not
D) Two events that are independent
Answer: C) Two events where one occurs if and only if the other does not
Explanation: Complementary events are mutually exclusive and exhaustive; the occurrence of one implies the
non-occurrence of the other.
PAGE 2
, Q5. What is the probability of getting at least one head in two tosses of a fair coin?
A) 1/4
B) 1/2
C) 3/4
D) 1
Answer: C) 3/4
Explanation: Possible outcomes: HH, HT, TH, TT. Favorable outcomes: HH, HT, TH. Probability = 3/4.
2. Conditional Probability and Independence
Q6. If P(A|B) = P(A) and P(B) > 0, what can be inferred about events A and B?
A) A and B are dependent
B) A and B are independent
C) A is a subset of B
D) B is a subset of A
Answer: B) A and B are independent
Explanation: If P(A|B) = P(A), then the occurrence of B does not affect the probability of A, indicating
independence.
Q7. Given P(A) = 0.3, P(B) = 0.5, and P(A ∩ B) = 0.15, what is P(A|B)?
A) 0.15
B) 0.3
C) 0.5
D) 0.75
Answer: D) 0.75
Explanation: P(A|B) = P(A ∩ B) / P(B) = 0..5 = 0.3.
Correction: There is a mistake in the explanation.
Correct Explanation: P(A|B) = P(A ∩ B) / P(B) = 0..5 = 0.3.
Correct Answer: B) 0.3
PAGE 3
