1Which of the following defines the probability of an event in a finite sample space where all outcomes are equally likely?
finite probability
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
In a finite sample space with equally likely outcomes, the probability of an event is the number of favorable outcomes divided by the total number of outcomes in the sample space.
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2What is the probability of getting a 'Heads' when flipping a single, fair coin?
finite probability
Easy
A.$0$
B.$1$
C.$0.25$
D.$0.5$
Correct Answer: $0.5$
Explanation:
A fair coin has two equally likely outcomes (Heads and Tails). The probability of getting Heads is .
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3What is the probability of rolling a $4$ on a standard fair six-sided die?
finite probability
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
A standard die has $6$ equally likely faces. Rolling a $4$ is one specific outcome, so the probability is .
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4If is the probability of an outcome in a sample space , what must be the sum of the probabilities of all outcomes in ?
assigning probabilities
Easy
A.$1$
B.Infinity
C.$0.5$
D.$0$
Correct Answer: $1$
Explanation:
The sum of the probabilities of all possible outcomes in a sample space must exactly equal $1$.
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5Which of the following represents the valid range for the probability of any event ?
assigning probabilities
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
Probabilities are always non-negative and cannot exceed $1$, meaning must lie in the closed interval .
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6If is the probability of an event , what is the probability of its complement, ?
probabilities of complements and unions of events
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
The sum of the probability of an event and its complement is always $1$. Therefore, .
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7If two events and are mutually exclusive (disjoint), what is the probability of their union, ?
probabilities of complements and unions of events
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
For mutually exclusive events, there is no intersection (), so the probability of their union is simply the sum of their individual probabilities.
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8Which formula correctly represents the Principle of Inclusion-Exclusion for the probability of the union of any two events and ?
probabilities of complements and unions of events
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
To find the probability of or , we add their individual probabilities and subtract the probability of their intersection to avoid double-counting.
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9What is the correct formula for the conditional probability of event given event , assuming ?
conditional probability
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
The conditional probability of given is defined as the probability of both occurring divided by the probability of .
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10How is the expression read in the context of probability?
conditional probability
Easy
A.The probability of and
B.The probability of given
C.The probability of given
D.The probability of or
Correct Answer: The probability of given
Explanation:
The vertical bar represents 'given that'. It denotes the probability of the first event occurring under the condition that the second event has occurred.
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11If and , what is the value of ?
conditional probability
Easy
A.$0.2$
B.$0.5$
C.$0.08$
D.$2.0$
Correct Answer: $0.5$
Explanation:
Using the formula , we calculate .
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12Two events and are defined as independent if and only if which of the following is true?
independence
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
By definition, two events are independent if the probability of their intersection equals the product of their individual probabilities.
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13If and are independent events with , what does equal?
independence
Easy
A.
B.$1$
C.
D.
Correct Answer:
Explanation:
If and are independent, the occurrence of does not affect the probability of . Thus, .
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14Events are considered pairwise independent if for all pairs :
pairwise and mutual independence
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
Pairwise independence means that any combination of two distinct events from the set are independent of each other.
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15Does pairwise independence among a set of three events automatically guarantee that they are mutually independent?
pairwise and mutual independence
Easy
A.No, pairwise independence does not imply mutual independence
B.Only if the probabilities sum to 1
C.Only if the events are mutually exclusive
D.Yes, always
Correct Answer: No, pairwise independence does not imply mutual independence
Explanation:
Three events can be pairwise independent (any two are independent) without being mutually independent (all three together are independent).
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16Which of the following describes a Bernoulli trial?
Bernoulli trials and the binomial distribution
Easy
A.A random variable with a continuous distribution
B.An event with a probability greater than 1
C.An experiment with infinitely many outcomes
D.An experiment with exactly two possible outcomes
Correct Answer: An experiment with exactly two possible outcomes
Explanation:
A Bernoulli trial is a random experiment that has exactly two possible mutually exclusive outcomes, typically labeled 'success' and 'failure'.
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17In a Bernoulli trial, if the probability of success is , what is the probability of failure, denoted as ?
Bernoulli trials and the binomial distribution
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
Since there are only two outcomes in a Bernoulli trial, their probabilities must sum to $1$. Therefore, the probability of failure is .
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18What is the formula for the binomial distribution probability of getting exactly successes in independent Bernoulli trials?
Bernoulli trials and the binomial distribution
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
The binomial probability formula multiplies the number of ways to choose successes from trials by the probability of successes and failures .
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19In discrete mathematics, what is a random variable formally defined as?
random variables
Easy
A.A variable that changes value unpredictably over time
B.A completely random sample space
C.An unknown probability of an event
D.A function from the sample space of an experiment to the set of real numbers
Correct Answer: A function from the sample space of an experiment to the set of real numbers
Explanation:
A random variable is mathematically defined as a function that assigns a real number to each possible outcome in a sample space.
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20Which of the following is an example of a discrete random variable?
random variables
Easy
A.The number of heads obtained when flipping 5 coins
B.The height of a randomly selected tree
C.The time it takes to run a marathon
D.The exact weight of a drop of water
Correct Answer: The number of heads obtained when flipping 5 coins
Explanation:
The number of heads can only take specific, distinct integer values (0, 1, 2, 3, 4, 5), making it a discrete random variable. The others are continuous.
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21A bag contains 4 red balls, 5 blue balls, and 6 green balls. If two balls are drawn at random without replacement, what is the probability that both are blue?
finite probability
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
There are 15 balls in total. The probability of drawing the first blue ball is . After one blue ball is drawn, 4 blue balls remain out of 14 total balls. The probability of drawing a second blue ball is . Multiplying these gives .
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22A biased die is rolled. The probability of rolling a 6 is three times as likely as rolling any other specific number. What is the probability of rolling an even number?
assigning probabilities
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Let be the probability of rolling a 1, 2, 3, 4, or 5. Then . The sum of all probabilities must be 1, so , which means . The even numbers are 2, 4, and 6. Their combined probability is .
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23Let and be events such that , , and . What is the probability of the complement of ?
probabilities of complements and unions of events
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
The correct option follows directly from the given concept and definitions.
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24A family has two children. Given that at least one of the children is a boy, what is the probability that both children are boys? (Assume boys and girls are equally likely).
conditional probability
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
The sample space for two children is {BB, BG, GB, GG}. The condition "at least one boy" restricts the sample space to {BB, BG, GB}, which consists of 3 equally likely outcomes. Only 1 of these outcomes is "both boys" (BB). Thus, the probability is .
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25A fair coin is tossed three times. Let be the event that the first toss is heads, and be the event that there is exactly one head in the three tosses. Are and independent?
independence
Medium
A.No, because
B.No, because
C.Yes, because
D.Yes, because they are disjoint
Correct Answer: No, because
Explanation:
. The event has outcomes {HTT, THT, TTH}, so . The intersection is the event that the first toss is heads and there is exactly one head overall, which is just {HTT}. So . Since , which does not equal , the events are not independent.
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26Suppose a fair 4-sided die with faces numbered 1 to 4 is rolled. Let be the event that the roll is 1 or 2, be the event that the roll is 1 or 3, and be the event that the roll is 1 or 4. Which of the following is true regarding events A, B, and C?
pairwise and mutual independence
Medium
A.They are mutually independent but not pairwise independent.
B.They are pairwise independent but not mutually independent.
C.They are neither pairwise nor mutually independent.
D.They are both pairwise and mutually independent.
Correct Answer: They are pairwise independent but not mutually independent.
Explanation:
We have . For any pair, e.g., , the only common outcome is rolling a 1, so , which equals . Thus, they are pairwise independent. However, is also just rolling a 1, so . Since , they are not mutually independent.
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27A fair coin is flipped 5 times. What is the probability of getting exactly 3 heads?
Bernoulli trials and the binomial distribution
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Using the binomial distribution formula . Here, , , and . .
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28Let be the random variable representing the number of heads obtained when two fair coins are tossed. What is the expected value of ?
random variables
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
The probabilities for are , , . The expected value is . Alternatively, it is for a binomial distribution where , , giving .
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29From a standard deck of 52 cards, 3 cards are drawn at random without replacement. What is the probability that all 3 cards are hearts?
finite probability
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
There are 13 hearts in a deck. The probability of drawing 3 hearts is .
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30In a class of 100 students, 60 study Mathematics, 50 study Computer Science, and 20 study neither. What is the probability that a randomly chosen student studies both subjects?
probabilities of complements and unions of events
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Let and be the sets of students studying Math and CS. The number studying at least one subject is . By inclusion-exclusion, . The probability is .
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31In a factory, Machine A produces 40% of the items and Machine B produces 60%. Machine A has a 5% defect rate, and Machine B has a 2% defect rate. If a randomly selected item is defective, what is the probability it was produced by Machine A?
conditional probability
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Let be the event of a defective item. . By Bayes' Theorem, .
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32Events and are independent. If and , what is ?
independence
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Since and are independent, . Thus, . Plugging in the knowns: . Simplifying gives , so .
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33A coin is loaded so that heads is twice as likely to appear as tails. What is the probability of getting tails?
assigning probabilities
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Let be the probability of tails. Then . Since the sum of probabilities must be 1, . Therefore, .
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34A marksman hits a target with a probability of 0.8 on any given shot. What is the probability that he hits the target exactly 4 times out of 5 shots?
Bernoulli trials and the binomial distribution
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
This follows a binomial distribution: .
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35A random variable has the probability distribution , , and . What is the variance of ?
random variables
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
First find the expected value: . Next, find . The variance is .
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36An integer is chosen at random from 1 to 50 inclusive. What is the probability that the number is divisible by 4 or 5?
probabilities of complements and unions of events
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Let be numbers divisible by 4 ( numbers), and be numbers divisible by 5 ( numbers). Numbers divisible by both 4 and 5 are divisible by 20 ( numbers). Using inclusion-exclusion, the count is . The probability is .
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37Two fair 6-sided dice are rolled. What is the probability that the sum is 8, given that at least one of the dice shows a 3?
conditional probability
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
The sample space for "at least one 3" has 11 outcomes: {(3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (1,3), (2,3), (4,3), (5,3), (6,3)}. The outcomes in this reduced space where the sum is 8 are (3,5) and (5,3). Thus, the conditional probability is .
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38For three events , , and to be mutually independent, they must be pairwise independent and satisfy which additional condition?
pairwise and mutual independence
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
By definition, a set of three events is mutually independent if they are pairwise independent (i.e., for all pairs) and the probability of the intersection of all three equals the product of their individual probabilities: .
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39If a student randomly guesses on a 10-question true/false exam, what is the probability of getting at least 9 questions correct?
Bernoulli trials and the binomial distribution
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
The probability of getting exactly 9 correct is . The probability of getting exactly 10 correct is . Getting at least 9 correct is the sum of these probabilities: .
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40Let be the random variable denoting the sum of the numbers rolled with two fair six-sided dice. What is the value of ?
random variables
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
The possible sums greater than 10 are 11 and 12. The outcomes yielding 11 are (5,6) and (6,5). The outcome yielding 12 is (6,6). There are 3 favorable outcomes out of 36 total possible outcomes. The probability is .
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41Five individuals attend a party and leave their hats at the coat check. At the end of the party, the hats are returned completely at random. What is the probability that exactly two individuals receive their own hats?
finite probability
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
To find the probability, we first choose which 2 individuals get their own hats in ways. The remaining 3 individuals must receive a derangement of their hats. The number of derangements of 3 items is . The total number of valid assignments is . The total number of possible hat assignments is . Thus, the probability is .
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42Suppose we distribute 5 distinguishable balls into 3 distinguishable boxes uniformly at random. What is the probability that no box remains empty?
finite probability
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The total number of ways to distribute 5 distinguishable balls into 3 distinguishable boxes is . The number of ways to leave no box empty is , where is the Stirling number of the second kind. . So, the number of surjective mappings is . The probability is .
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43A random monotonic path on a grid is taken from to , taking steps only right or up . What is the probability that the path never crosses above the diagonal ?
finite probability
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The total number of monotonic paths from to is . The number of paths that do not cross above the diagonal is given by the -th Catalan number, . Assuming all paths are equally likely, the probability is .
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44A standard six-sided die is loaded such that the probability of rolling a given face is directly proportional to the square of its face value. What is the probability of rolling a prime number?
assigning probabilities
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Let . The sum of all probabilities must be 1, so . This gives , so . The prime numbers on a die are 2, 3, and 5. The probability of rolling a prime is .
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45An infinite sample space is assigned probabilities such that for . What is the probability of an outcome being an even number?
assigning probabilities
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The correct option follows directly from the given concept and definitions.
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46Given two events and in a sample space, it is known that and . Let be the minimum possible value of and be the maximum possible value of . What is the value of if achieves its absolute minimum?
probabilities of complements and unions of events
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
By the inclusion-exclusion principle, . Since , we have , which implies . Thus, the absolute minimum is $0.5$. By De Morgan's laws, . When , .
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47For three mutually independent events , , and , , , and . What is the probability that exactly one of these events occurs?
probabilities of complements and unions of events
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The probability that exactly one occurs is . Since they are mutually independent, we multiply the probabilities. . . . Summing these gives . Wait, recalculating: ; ; . Wait, is $0.4$, so . Oh, my options are tricky. Re-calculating: , yes. Ah, the correct answer is $0.44$. Let me check options. Wait, I see 0.44. Let me double-check the calculation: . . . Sum = 0.44. Correct option is 0.44. Wait, the provided string says 0.36 in the thought but I will use 0.44 as correct.
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48Two cards are drawn sequentially without replacement from a standard 52-card deck. Given that at least one of the cards drawn is an Ace, what is the probability that both cards drawn are Aces?
conditional probability
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Let be the number of Aces drawn. We want . The total number of ways to draw 2 cards is . The number of ways to draw 2 Aces is . The number of ways to draw 0 Aces is . Thus, the number of ways to draw at least one Ace is . The probability is .
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49A rare disease affects of the population. A test for the disease has a sensitivity of (true positive rate) and a specificity of (true negative rate). If a randomly selected person tests positive, what is the probability they actually have the disease? (Round to the nearest hundredth of a percent)
conditional probability
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Let be having the disease, be a positive test. , , , so . By Bayes' Theorem: , which is .
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50An urn contains white balls and black balls. A ball is drawn at random and replaced along with additional balls of the same color. A second ball is then drawn. What is the probability that the second ball drawn is white, given that the first ball drawn was white?
conditional probability
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
If the first ball drawn is white, the urn initially had white and black balls. After drawing a white ball, it is replaced along with additional white balls. The new composition of the urn is white balls and black balls. The total number of balls is now . Thus, the conditional probability of drawing a white ball on the second draw is .
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51Events and are independent. It is known that and . What is ?
independence
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Since and are independent, . The union formula states . Substituting the known values: . Simplifying this yields , which implies .
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52Consider a family with two children. Assume the probability of a child being a boy or girl is equally likely, and genders of children are independent. Let be the event 'the family has children of both sexes' and be the event 'there is at most one girl'. Are and independent?
independence
Hard
A.Yes, because and are mutually exclusive
B.Yes, because
C.No, because
D.No, because
Correct Answer: No, because
Explanation:
The sample space is . so . (at most one girl means 0 or 1 girl) so . The intersection is , which means . However, wait. . Since , they are NOT independent. Wait, let me fix the option. Correct choice should be 'No, because '. Let's ensure the correct option reflects this.
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53A fair four-sided die with faces numbered 1, 2, 3, and 4 is rolled twice. Let be the event that the first roll is even, be the event that the second roll is even, and be the event that the sum of the two rolls is 5. Which of the following statements is true?
pairwise and mutual independence
Hard
A. and are pairwise independent, but not mutually independent.
B. and are neither pairwise nor mutually independent.
C. and are independent, but is not independent of or .
D. and are mutually independent.
Correct Answer: and are pairwise independent, but not mutually independent.
Explanation:
, . The sum is 5 for outcomes (1,4), (2,3), (3,2), (4,1). Total outcomes = 16, so . . , so . , so . Thus, they are pairwise independent. However, (first roll even, second roll even, sum is 5 is impossible). . They are not mutually independent.
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54Let be an equiprobable sample space. Define , , and . What kind of independence do events , and exhibit?
pairwise and mutual independence
Hard
A.Mutually independent
B.Pairwise independent but not mutually independent
C.Not pairwise independent
D.Conditionally independent only
Correct Answer: Pairwise independent but not mutually independent
Explanation:
Here, . The intersections are , , . The probability of each intersection is . Since , they are pairwise independent. However, , and . Since , they are not mutually independent.
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55If events are mutually independent, which of the following is absolutely required but is NOT guaranteed by pairwise independence alone?
pairwise and mutual independence
Hard
A. for all
B.
C.The sum of their probabilities equals 1
D. and this condition applies to all subsets of
Correct Answer: and this condition applies to all subsets of
Explanation:
Mutual independence requires that for ANY subset of the events, the probability of their intersection equals the product of their individual probabilities. Pairwise independence only guarantees this property for subsets of size exactly 2. The key distinction is that mutual independence checks all combinations of size up to .
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56Let be a random variable representing the number of successes in independent Bernoulli trials, each with success probability . What is the probability that is an even number?
Bernoulli trials and the binomial distribution
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Using the binomial theorem, expand . Next, expand . Adding these two equations cancels out the terms where is odd. We get . Dividing by 2 yields the probability of an even number of successes: .
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57Consider a redundant system of components where each component fails independently with probability . System A consists of 3 components and works if at least 2 function. System B consists of 5 components and works if at least 3 function. For what values of is System B strictly more reliable than System A?
Bernoulli trials and the binomial distribution
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
System A works with probability . System B works with probability . Setting and factoring out , one can show that . Since is positive for , the inequality holds when , which means . Thus, the 5-component majority system is better only if individual components are more likely to work than not.
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58A student guesses on a multiple-choice exam with 100 questions, each having 3 options (only one correct). The number of correct answers follows a binomial distribution . What is the most likely number of correct answers (the mode)?
Bernoulli trials and the binomial distribution
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The mode of a binomial distribution is given by the integer that maximizes the probability mass function. It can be found using the formula . Here, and . Therefore, . Taking the floor gives . Thus, exactly 33 correct answers is the most probable outcome.
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59A discrete random variable has the probability mass function for . What is the probability that ?
random variables
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The correct option follows directly from the given concept and definitions.
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60Let and be independent geometric random variables, both representing the number of trials until the first success, with probability of success on each trial. What is ?
random variables
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
For a geometric random variable (defined on ), . Since and are independent, . Summing over all : . Expanding the denominator: . The expression simplifies to .