Class 12 Math Ch-13 Probability MCQs Exam 2027 
Class 12 Math Ch-13 Probability MCQs Exam 2027 Details: नीचे दिए गए सभी Questions Bihar Board परीक्षा 2027 के लिए “Very Very Important Multiple Choice Questions (MCQs) Objective” (अत्यंत महत्वपूर्ण प्रश्न) हैं। इन सभी Class 12th के (Mathematics/गणित) = गणित भाग-2 (English Medium) Book Chapter-13 Probability का Questions का Solve का वीडियो Youtube और Website पर Upload किया है।
Section-B: Probability (English Medium)
If $A$ and $B$ are two independent events, then the value of $P(A \cap B’)$ is:
(A) $P(A) \cdot P(B’)$
(B) $P(A) \cdot P(B)$
(C) $P(A’) \cdot P(B)$
(D) $P(A’) \cdot P(B’)$
If $P(A) = 1/2$ and $P(B) = 0$, then $P(A/B)$ is:
(A) 0
(B) 1/2
(C) Not defined
(D) 1
The probability of getting a ‘Doublet’ in a throw of two dice is:
(A) 1/6
(B) 5/6
(C) 1/12
(D) 2/3
If $A$ and $B$ are independent events, then $P(A \cap B) = $:
(A) $P(A) \cdot P(B)$
(B) $P(A) + P(B)$
(C) $P(A/B)$
(D) $P(B/A)$
A card is drawn from a pack of 52 cards. The probability of it being an Ace is:
(A) 1/13
(B) 1/4
(C) 1/52
(D) 4/13
The value of $P(A) + P(A’)$ is:
(A) 0
(B) 1
(C) -1
(D) $P(S)$
If $P(A) = 3/8, P(B) = 1/2$ and $P(A \cap B) = 1/4$, then $P(A \cup B)$ is:
(A) 1/8
(B) 5/8
(C) 3/4
(D) 1/2
A coin is tossed 3 times. The probability of getting at least two heads is:
(A) 1/4
(B) 1/2
(C) 3/8
(D) 1/8
If $P(E) = 0.05$, then the probability of ‘not E’ ($E’$) is:
(A) 0.95
(B) 0.05
(C) 1.05
(D) 0
The probability of getting an even number in a throw of a die is:
(A) 1/2
(B) 1/3
(C) 1/6
(D) 2/3
For independent events $A$ and $B$, $P(A \cup B)$ is equal to:
(A) $1 – P(A’)P(B’)$
(B) $P(A) + P(B)$
(C) $P(A) \cdot P(B)$
(D) $P(A) – P(B)$
If $P(A) = 0.4, P(B) = 0.8$ and $P(B/A) = 0.6$, then $P(A/B)$ is:
(A) 0.3
(B) 0.4
(C) 0.5
(D) 0.6
The probability of drawing a ‘Spade’ from a deck of cards is:
(A) 1/4
(B) 1/13
(C) 1/52
(D) 3/4
The probability of an impossible event is:
(A) 1
(B) 0
(C) 0.5
(D) $\infty$
If $P(A) = 2/7, P(B) = 4/7$, and $A, B$ are mutually exclusive, then $P(A \cup B)$ is:
(A) 6/7
(B) 2/7
(C) 1/7
(D) 8/49
The probability of getting a number greater than 4 in a throw of a die is:
(A) 1/2
(B) 1/3
(C) 2/3
(D) 1/6
$P(A/B) + P(A’/B)$ is equal to:
(A) 0
(B) 1
(C) -1
(D) 2
If $P(A) = 6/11, P(B) = 5/11$ and $P(A \cup B) = 7/11$, then $P(A \cap B)$ is:
(A) 4/11
(B) 5/11
(C) 2/11
(D) 1
The probability that the sum of numbers on two dice is 7 is:
(A) 1/6
(B) 5/36
(C) 1/12
(D) 1/36
The probability of drawing a ‘Red King’ from a deck of 52 cards is:
(A) 1/13
(B) 1/26
(C) 1/52
(D) 2/13
If $A$ and $B$ are independent, then $P(A/B)$ is equal to:
(A) $P(A)$
(B) $P(B)$
(C) $P(A \cap B)$
(D) 1
A coin is tossed 10 times. The probability of getting exactly 6 heads is:
(A) ${}^{10}C_6 (1/2)^{10}$
(B) ${}^{10}C_6 (1/2)^6$
(C) $1/2^{10}$
(D) ${}^{10}C_6$
If the probability of an event is 3/7, the odds against it are:
(A) 4:3
(B) 3:4
(C) 7:3
(D) 4:7
If $P(A \cap B) = 1/4$ and $P(A) = 1/3$, then $P(B/A)$ is:
(A) 3/4
(B) 1/4
(C) 1/12
(D) 4/3
The probability of getting a prime number in a throw of a die is:
(A) 1/2
(B) 1/3
(C) 2/3
(D) 1/6
If $A, B, C$ are independent events, then $P(A \cap B \cap C) = $:
(A) $P(A) \cdot P(B) \cdot P(C)$
(B) $P(A) + P(B) + P(C)$
(C) $P(A \cup B \cup C)$
(D) 0
The probability of drawing a ‘Face Card’ from a deck of cards is:
(A) 3/13
(B) 1/13
(C) 4/13
(D) 1/4
If $P(A) = 0.8, P(B) = 0.5$ and $P(B/A) = 0.4$, then $P(A \cap B)$ is:
(A) 0.32
(B) 0.20
(C) 0.40
(D) 0.50
If $\phi$ is an empty event, then $P(\phi) = $:
(A) 0
(B) 1
(C) 0.5
(D) Not defined
In two throws of a die, the probability that 5 appears at least once is:
(A) 11/36
(B) 1/6
(C) 1/36
(D) 25/36
If $P(E) = 0.6, P(F) = 0.3$ and $P(E \cap F) = 0.2$, then $P(E/F)$ is:
(A) 2/3
(B) 1/3
(C) 1/2
(D) 3/4
In a Binomial Distribution, the mean is:
(A) $np$
(B) $npq$
(C) $\sqrt{npq}$
(D) $n$
If $n=10$ and $p=1/2$, then the variance is:
(A) 2.5
(B) 5
(C) 1.25
(D) 10
Two cards are drawn at random from 52 cards. The probability that both are Aces is:
(A) 1/221
(B) 1/13
(C) 2/13
(D) 4/663
If $P(A \cup B) = P(A) + P(B)$, then $A$ and $B$ are:
(A) Mutually exclusive
(B) Independent
(C) Dependent
(D) None of these
A coin is tossed 5 times. The probability of getting at least one head is:
(A) 31/32
(B) 1/32
(C) 1/2
(D) 1/5
$P(A/B) \cdot P(B) = $:
(A) $P(A \cap B)$
(B) $P(A \cup B)$
(C) $P(A)$
(D) $P(B)$
The probability of having 53 Fridays in a leap year is:
(A) 2/7
(B) 1/7
(C) 53/366
(D) 1/366
If $A$ and $B$ are independent events, then $P(A’ \cap B’) = $:
(A) $P(A’) \cdot P(B’)$
(B) $1 – P(A)P(B)$
(C) $P(A) + P(B)$
(D) 0
The probability of getting a multiple of 2 in a throw of a die is:
(A) 1/2
(B) 1/3
(C) 1/6
(D) 2/3
The number of ‘Diamond’ cards in a deck is:
(A) 13
(B) 26
(C) 4
(D) 1
If the odds in favor are 3:2, the probability of the event is:
(A) 3/5
(B) 2/5
(C) 3/2
(D) 2/3
The probability of drawing a ‘Jack’ from a deck of 52 cards is:
(A) 1/13
(B) 4/13
(C) 1/52
(D) 1/4
$P(A \cap B’) = P(A) – \_\_\_\_$:
(A) $P(A \cap B)$
(B) $P(B)$
(C) $P(A \cup B)$
(D) $P(A’)$
A coin is tossed 4 times. The total number of possible outcomes is:
(A) 16
(B) 8
(C) 4
(D) 32
If $P(A) = 0.3, P(B) = 0.4$ and $A, B$ are independent, then $P(A \cup B)$ is:
(A) 0.58
(B) 0.70
(C) 0.12
(D) 0.82
The sum of probabilities of all elementary events of an experiment is:
(A) 1
(B) 0
(C) 0.5
(D) Infinity
A bag contains 4 red and 6 black balls. The probability of drawing a red ball is:
(A) 2/5
(B) 3/5
(C) 4/6
(D) 1/10
If $A \subset B$, then $P(A \cap B) = $:
(A) $P(A)$
(B) $P(B)$
(C) 1
(D) 0
The probability of drawing a ‘Black Face Card’ from a deck of cards is:
(A) 6/52
(B) 12/52
(C) 3/52
(D) 2/13
The probability of getting an odd prime number in a throw of a die is:
(A) 1/3
(B) 1/2
(C) 1/6
(D) 2/3
If $P(A) = 0.5, P(B) = 0.6$ and $P(A \cup B) = 0.8$, then $P(A \cap B)$ is:
(A) 0.3
(B) 0.1
(C) 1.1
(D) 0.2
For independent events $A$ and $B$, $P(A \cap B’) = $:
(A) $P(A) – P(A \cap B)$
(B) $P(A) \cdot P(B’)$
(C) Both (A) and (B)
(D) $P(A) + P(B)$
In a family of 2 children, the probability of at least one boy is:
(A) 3/4
(B) 1/4
(C) 1/2
(D) 2/3
If $P(A) = 1/3, P(B) = 1/4$ and $A, B$ are mutually exclusive, then $P(A \cup B)$ is:
(A) 7/12
(B) 1/12
(C) 1/3
(D) 1/4
The number of ‘Aces of Spades’ in a deck is:
(A) 1
(B) 4
(C) 13
(D) 2
The probability of getting 6 heads in 6 tosses of a coin is:
(A) 1/64
(B) 1/32
(C) 1/6
(D) 6/64
$P(B/A) + P(B’/A) = $:
(A) 1
(B) 0
(C) $P(B)$
(D) $P(A)$
The probability of getting a sum of 12 with two dice is:
(A) 1/36
(B) 1/6
(C) 0
(D) 1/12
If $P(A) = 0.7$, then $P(A’)$ is:
(A) 0.3
(B) 0.7
(C) 1.7
(D) 0
The multiplication rule for independent events is:
(A) $P(A \cap B) = P(A) \cdot P(B)$
(B) $P(A \cup B) = P(A) + P(B)$
(C) $P(A/B) = P(A)$
(D) Both (A) and (C)
Probability of drawing a ‘Red or Black’ card from a deck is:
(A) 1
(B) 1/2
(C) 0
(D) 1/4
Probability of getting number 7 on a throw of a die is:
(A) 0
(B) 1/6
(C) 1
(D) 7/6
If $P(A) = 2/3, P(B) = 1/2$ and $P(A \cap B) = 1/6$, then $P(A \cup B)$ is:
(A) 1
(B) 5/6
(C) 7/6
(D) 2/3
The formula for $r$ successes in $n$ independent trials is:
(A) ${}^nC_r p^r q^{n-r}$
(B) ${}^nC_r p^{n-r} q^r$
(C) $p^r q^{n-r}$
(D) ${}^nC_r (pq)^n$
A bag has 3 white and 2 black balls. Drawing two balls, the probability both are white is:
(A) 3/10
(B) 9/25
(C) 1/10
(D) 2/5
Total number of ‘Face Cards’ in a deck of 52 cards is:
(A) 12
(B) 16
(C) 4
(D) 52
If $P(A/B) > P(A)$, then:
(A) $P(B/A) > P(B)$
(B) $P(B/A) < P(B)$
(C) $P(B/A) = P(B)$
(D) None of these
Probability of getting a prime number on a die is:
(A) 1/2
(B) 1/3
(C) 2/3
(D) 1/6
$P(A \cup B) = P(A) + P(B) – \_\_\_\_$:
(A) $P(A \cap B)$
(B) $P(A/B)$
(C) 1
(D) 0
If $A, B$ are independent and $P(A)=0.2, P(B)=0.5$, then $P(A \cap B)$ is:
(A) 0.1
(B) 0.7
(C) 0.3
(D) 0.4
Probability of drawing a ‘Queen’ from a deck is:
(A) 1/13
(B) 1/4
(C) 1/52
(D) 4/13
Probability of getting exactly 2 tails in 3 tosses of a coin is:
(A) 3/8
(B) 1/8
(C) 1/2
(D) 3/4
If odds in favor are 5:3, the probability of the event NOT occurring is:
(A) 3/8
(B) 5/8
(C) 3/5
(D) 5/3
If $P(A) = 0.4, P(B) = 0.5$, the maximum value of $P(A \cup B)$ can be:
(A) 0.9
(B) 0.5
(C) 0.4
(D) 1.0
Probability of getting a 3 or 4 in a throw of a die is:
(A) 1/3
(B) 1/6
(C) 1/2
(D) 2/3
The number of ‘Red Cards’ in a deck is:
(A) 26
(B) 13
(C) 4
(D) 52
If $P(A \cap B) = 0.2, P(B) = 0.5$, then $P(A/B)$ is:
(A) 0.4
(B) 0.1
(C) 0.7
(D) 2.5
Mean number of heads in two tosses of a coin is:
(A) 1
(B) 0.5
(C) 1.5
(D) 2
If $\sum P(X) = 1$, the distribution is called:
(A) Probability Distribution
(B) Frequency Distribution
(C) Cumulative Distribution
(D) None of these
Probability of drawing a ‘King of Spades’ is:
(A) 1/52
(B) 1/13
(C) 4/52
(D) 1/4
If $P(E) = 1$, event $E$ is called:
(A) Sure Event
(B) Impossible Event
(C) Independent Event
(D) Dependent Event
Probability of getting a number less than 6 on a die is:
(A) 5/6
(B) 1
(C) 1/6
(D) 0
The number of ‘Clubs’ cards in a deck is:
(A) 13
(B) 26
(C) 4
(D) 1
If $P(A)=0.6, P(B)=0.3$, and $A, B$ are independent, then $P(A \cap B’)$ is:
(A) 0.42
(B) 0.18
(C) 0.7
(D) 0.9
Probability of getting at least one head in two tosses is:
(A) 3/4
(B) 1/4
(C) 1/2
(D) 1
$P(A \cap B) = P(A) \cdot P(B/A)$ is called:
(A) Multiplication Theorem
(B) Addition Theorem
(C) Bayes’ Theorem
(D) Binomial Theorem
Probability of not getting a 5 on a throw of a die is:
(A) 5/6
(B) 1/6
(C) 1
(D) 0
Probability of drawing an ‘Ace of Hearts’ is:
(A) 1/52
(B) 1/13
(C) 4/52
(D) 1/4
If $P(A) = 0$ and $P(B) = 0.5$, then $P(A/B)$ is:
(A) 0
(B) 0.5
(C) Not defined
(D) 1
Bag has 5 black and 4 white balls. Probability of drawing a black ball is:
(A) 5/9
(B) 4/9
(C) 1/9
(D) 5/4
Total number of ‘Suits’ in a deck of cards is:
(A) 4
(B) 2
(C) 13
(D) 52
If $P(A) = 3/10, P(B) = 2/5$, and $A, B$ are mutually exclusive, then $P(A \cup B)$ is:
(A) 7/10
(B) 1/10
(C) 6/50
(D) 1/5
Probability of getting a number between 2 and 5 on a die is:
(A) 1/3
(B) 1/2
(C) 1/6
(D) 2/3
$P(S)$ where $S$ is the sample space is:
(A) 1
(B) 0
(C) $n(S)$
(D) $\infty$
If $P(A) = 0.4$ and $P(B’) = 0.6$, then $A$ and $B$ are:
(A) Complementary events
(B) Independent events
(C) Mutually exclusive
(D) None of these
Probability of drawing a ‘Red Face Card’ is:
(A) 6/52
(B) 12/52
(C) 3/52
(D) 1/4
A coin is tossed 8 times. Probability of exactly 4 heads is:
(A) ${}^8C_4 (1/2)^8$
(B) ${}^8C_4 (1/2)^4$
(C) $1/2^8$
(D) ${}^8C_4$
If $A, B$ are mutually exclusive, $P(A \cap B) = $:
(A) 0
(B) 1
(C) $P(A)P(B)$
(D) $P(A)+P(B)$
Probability of getting a 1 on a die is:
(A) 1/6
(B) 1
(C) 0
(D) 5/6
In $B(n, p)$, if mean of success is $np$, mean of failures is:
(A) $nq$
(B) $npq$
(C) $n$
(D) $q$
Total number of ‘Kings’ in a deck is:
(A) 4
(B) 2
(C) 13
(D) 1
If $P(A) = 1/2, P(B) = 1/2$, the minimum value of $P(A \cup B)$ is:
(A) 1/2
(B) 0
(C) 1
(D) 1/4
Bag has 2 red, 3 green, and 2 blue balls. Probability of green ball is:
(A) 3/7
(B) 2/7
(C) 4/7
(D) 1/3
$P(A \cap B) = 0$ implies events are:
(A) Mutually exclusive
(B) Independent
(C) Sure
(D) Impossible
Probability of getting a perfect square on a die is:
(A) 1/3
(B) 1/2
(C) 1/6
(D) 2/3
If $P(A) = 0.5, P(B) = 0$, then $P(A/B)$ is:
(A) Not defined
(B) 0
(C) 0.5
(D) 1
Number of ‘Black Kings’ in a deck is:
(A) 2
(B) 4
(C) 1
(D) 13
If $A, B$ are independent, $P(A \cap B) – P(A)P(B) = $:
(A) 0
(B) 1
(C) $P(A)$
(D) $P(B)$
Probability of at least one tail in 10 tosses is:
(A) $1 – (1/2)^{10}$
(B) $(1/2)^{10}$
(C) 1/10
(D) 1/2
Probability of getting a 5 or 6 on a die is:
(A) 1/3
(B) 1/6
(C) 1/2
(D) 2/3
If $P(A) = 0.6, P(B) = 0.3, P(A \cap B) = 0.2$, then $P(A \cup B)$ is:
(A) 0.7
(B) 0.9
(C) 0.5
(D) 1.1
Number of ‘Red Queens’ in a deck is:
(A) 2
(B) 4
(C) 1
(D) 26
$P(E) = n(E)/n(S)$ is applicable when events are:
(A) Equally likely
(B) Exclusive
(C) Independent
(D) Any
Probability of 0 heads in 3 tosses of a coin is:
(A) 1/8
(B) 3/8
(C) 1/2
(D) 7/8
If odds in favor are 1:1, the probability is:
(A) 1/2
(B) 1
(C) 0
(D) 2
Probability of getting an even prime on a die is:
(A) 1/6
(B) 1/2
(C) 1/3
(D) 0
Number of ‘Spades’ in a deck is:
(A) 13
(B) 26
(C) 4
(D) 1
If $A, B, C$ are exclusive, $P(A \cup B \cup C) = $:
(A) $P(A)+P(B)+P(C)$
(B) $P(A)P(B)P(C)$
(C) 1
(D) 0
Standard Deviation (S.D.) in Binomial Distribution is:
(A) $\sqrt{npq}$
(B) $npq$
(C) $np$
(D) $p/q$
Probability of getting a multiple of 3 on a die is:
(A) 1/3
(B) 1/2
(C) 1/6
(D) 2/3
Probability of drawing a ‘Red 10’ from a deck is:
(A) 2/52
(B) 4/52
(C) 1/52
(D) 1/13
If $P(A) = 0.8, P(B) = 0.5$, minimum value of $P(A \cap B)$ is:
(A) 0.3
(B) 0
(C) 0.5
(D) 0.8
Total outcomes for tossing a coin $n$ times:
(A) $2^n$
(B) $n^2$
(C) $2n$
(D) $n!$
$P(E’) = 1 – P(E)$ is the:
(A) Complementary rule
(B) Addition rule
(C) Independent rule
(D) Bayes’ rule
Probability of getting an even prime number on a die is:
(A) 1/6
(B) 1/2
(C) 1/3
(D) 0
Number of ‘Black Jacks’ in a deck is:
(A) 2
(B) 4
(C) 1
(D) 13
If $A, B$ are independent, $P(A)=0.3, P(B)=0.6$, then $P(A \cap B)$ is:
(A) 0.18
(B) 0.9
(C) 0.3
(D) 0.5
$P(A/B) = P(A \cap B) / \_\_\_\_$:
(A) $P(B)$
(B) $P(A)$
(C) 1
(D) $P(B/A)$
Probability of getting 2 or 6 on a die:
(A) 1/3
(B) 1/6
(C) 1/2
(D) 2/3
Probability of drawing a ‘Red Ace’ is:
(A) 2/52
(B) 4/52
(C) 1/52
(D) 1/13
If $P(E) = 0.75$, then $P(E’)$ is:
(A) 0.25
(B) 0.75
(C) 1
(D) 0
Probability of 2 heads in 2 tosses:
(A) 1/4
(B) 1/2
(C) 3/4
(D) 1
Maximum value of $P(A \cup B)$ is:
(A) 1
(B) 2
(C) 0.5
(D) $\infty$
Probability of number greater than 1 on a die:
(A) 5/6
(B) 1/6
(C) 1
(D) 0
Number of ‘Red Face Cards’ in a deck is:
(A) 6
(B) 12
(C) 3
(D) 4
If $P(A) = 0.2, P(B) = 0.8$, and $A, B$ are independent, then $P(A \cup B)$ is:
(A) 0.84
(B) 1.0
(C) 0.16
(D) 0.6
Bag has 6 white and 4 black balls. Probability of black is:
(A) 2/5
(B) 3/5
(C) 4/6
(D) 1/10
$P(A) + P(B) – P(A \cup B) = $:
(A) $P(A \cap B)$
(B) 1
(C) 0
(D) $P(A/B)$
Probability of number less than 4 on a die:
(A) 1/2
(B) 1/3
(C) 2/3
(D) 1/6
Number of ’10 of Clubs’ in a deck:
(A) 1
(B) 4
(C) 13
(D) 52
If $P(A \cap B) = P(A)P(B)$, then $A$ and $B$ are:
(A) Independent
(B) Exclusive
(C) Dependent
(D) Complementary
Probability of 0 tails in 7 tosses of a coin:
(A) 1/128
(B) 1/64
(C) 7/128
(D) 1/2
Probability of ‘Queen of Diamonds’ is:
(A) 1/52
(B) 4/52
(C) 1/13
(D) 1/4
If $P(E) = 0.5$, the odds in favor are:
(A) 1:1
(B) 1:2
(C) 2:1
(D) 0:5
Probability of getting 6 on a die:
(A) 1/6
(B) 1
(C) 0
(D) 5/6
Number of ‘Hearts’ in a deck is:
(A) 13
(B) 26
(C) 4
(D) 1
If $A, B$ are complementary, $P(A) + P(B) = $:
(A) 1
(B) 0
(C) 0.5
(D) $P(A \cup B)$
Probability of getting both Head and Tail in ONE toss:
(A) 0
(B) 1
(C) 1/2
(D) 1/4
The value of $P(A/B) + P(A’/B)$ is always:
(A) 1
(B) 0
(C) -1
(D) 2
Bihar Board Class 12th के (Mathematics/गणित) = गणित ‘भाग-2 (Englsih Medium) Book Chapter- 13 Probability के Exam 2027 MCQs Questions Answer Key
| Question | Answer | Question | Answer | Question | Answer | Question | Answer |
| 1 | (A) | 39 | (A) | 77 | (A) | 115 | (A) |
| 2 | (C) | 40 | (A) | 78 | (A) | 116 | (A) |
| 3 | (A) | 41 | (A) | 79 | (A) | 117 | (A) |
| 4 | (A) | 42 | (A) | 80 | (A) | 118 | (A) |
| 5 | (A) | 43 | (A) | 81 | (A) | 119 | (A) |
| 6 | (B) | 44 | (A) | 82 | (A) | 120 | (A) |
| 7 | (B) | 45 | (A) | 83 | (A) | 121 | (A) |
| 8 | (B) | 46 | (A) | 84 | (A) | 122 | (A) |
| 9 | (A) | 47 | (A) | 85 | (A) | 123 | (A) |
| 10 | (A) | 48 | (A) | 86 | (A) | 124 | (A) |
| 11 | (A) | 49 | (A) | 87 | (A) | 125 | (A) |
| 12 | (A) | 50 | (D) | 88 | (A) | 126 | (A) |
| 13 | (A) | 51 | (A) | 89 | (A) | 127 | (A) |
| 14 | (B) | 52 | (A) | 90 | (A) | 128 | (A) |
| 15 | (A) | 53 | (C) | 91 | (A) | 129 | (A) |
| 16 | (B) | 54 | (A) | 92 | (A) | 130 | (A) |
| 17 | (B) | 55 | (A) | 93 | (A) | 131 | (A) |
| 18 | (A) | 56 | (A) | 94 | (A) | 132 | (A) |
| 19 | (A) | 57 | (A) | 95 | (A) | 133 | (A) |
| 20 | (B) | 58 | (A) | 96 | (B) | 134 | (A) |
| 21 | (A) | 59 | (A) | 97 | (A) | 135 | (A) |
| 22 | (A) | 60 | (A) | 98 | (A) | 136 | (A) |
| 23 | (A) | 61 | (D) | 99 | (A) | 137 | (A) |
| 24 | (A) | 62 | (A) | 100 | (A) | 138 | (A) |
| 25 | (A) | 63 | (A) | 101 | (A) | 139 | (A) |
| 26 | (A) | 64 | (A) | 102 | (A) | 140 | (A) |
| 27 | (A) | 65 | (A) | 103 | (A) | 141 | (A) |
| 28 | (A) | 66 | (A) | 104 | (A) | 142 | (A) |
| 29 | (A) | 67 | (A) | 105 | (A) | 143 | (A) |
| 30 | (A) | 68 | (A) | 106 | (A) | 144 | (A) |
| 31 | (A) | 69 | (A) | 107 | (A) | 145 | (A) |
| 32 | (A) | 70 | (A) | 108 | (A) | 146 | (A) |
| 33 | (A) | 71 | (A) | 109 | (A) | 147 | (A) |
| 34 | (A) | 72 | (A) | 110 | (A) | 148 | (A) |
| 35 | (A) | 73 | (A) | 111 | (A) | 149 | (A) |
| 36 | (A) | 74 | (A) | 112 | (A) | 150 | (A) |
| 37 | (A) | 75 | (A) | 113 | (A) | ||
| 38 | (A) | 76 | (A) | 114 | (A) |
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