第 11 类 RD Sharma 解决方案 - 第 33 章概率 - 练习 33.4 |设置 2
问题 15. 从一包 52 张牌中,随机抽取 4 张牌。找出抽出的牌颜色相同的概率?
解决方案:
From a pack of 52 cards, 4 cards are drawn
Hence, Sample space, n(S) = 52C4 -(1)
Let A be the event of getting cards of same color,
Since there are two sets of same color,
n(A) = 2 * 26C4 -(2)
P(A) = 2 * 26C4/52C4
= 92/833
Note: The factorial of the respective cases will give a large number,
so in such cases simplify the factorial in final step
问题16 :两次考试共有100名学生参加,60人通过了第一次,50人通过了第二次考试,30人通过了两次考试。找出随机选择的学生至少通过一次考试的概率?
解决方案:
There are 100 students. Hence, sample space will be –
n(S) = 100 -(1)
Let A be the event that 60 students passed in first exam,
n(A) = 60
= 60/100 -(2)
Let B be the event that 50 students passed in first exam,
n(A) = 50
= 50/100 -(3)
30 passed both of the examinations,
P(A ∩ B) = 30/100 -(4)
P(A ∪ B) = P(A) + P(B) – P(A ∩ B)
= 60/100 + 50/100 – 30/100 -(From 2, 3, 4)
= 4/5
问题 17. 一个盒子里有 10 个白球、6 个红球和 10 个黑球。从盒子里随机抽出一个球,球是红色还是白色的概率是多少?
解决方案:
There are 10 white, 6 red and 10 black balls, hence the sample space will be,
n(S) = 10 + 6 + 10
= 26
Let W be the event of drawing the White balls,
n(W) = 10
P(W) = 10/26 -(1)
Let R be the event of drawing the Red balls,
n(R) = 6
P(R) = 6/26 -(2)
E & R are mutually exclusive events –
n(R ∩ E) = 0 -(red and white balls can’t be drawn to be together)
P(E ∪ R) = P(E) + P(R) – P(E ∩ R)
= 10/26 + 6/26
= 16/26
= 8/13
问题 18. 在一场比赛中,马 A、B、C、D 的胜率分别为 1:3、1:4、1:5 和 1:6。找出其中一个赢得比赛的概率?
解决方案:
We have P(A) : = 1 : 3
= P(A) / 1 – P(A) -( = 1 – P(A))
= 1/4 -(1)
Similarly P(B) = 1/5 -(2)
P(C) = 1/6 -(3)
P(D) = 1/7 -(4)
Probability that at least one of the horse wins is P(A ∪ B ∪ C ∪ D)
= 1/4 + 1/5 + 1/6 + 1/7 -(From 1, 2, 3, 4)
= 319/420
问题 19. 一个人乘火车旅行的概率是 3/5,他乘飞机旅行的概率是 1/4。求他乘火车或飞机旅行的概率?
解决方案:
Let T be the event that persons travels by train –
P(T) = 3/5 -(1)
Let A be the event that persons travels by PLANE –
P(A) = 1/4 -(2)
P(A ∪ T) = P(A) + P(T) -((A ∩ T) = 0)
= 3/5 + 1/4 -(From 1 , 2)
= 17/20
问题 20. 从一副洗好的 52 张牌中抽出两张牌。找出两张牌都是黑色或国王的概率?
解决方案:
Two cards are drawn from well shuffled deck of 52 cards,
n(S) = 52C2 -(1)
Let A be the event of getting black cards,
n(A) = 26C2
P(A) =26C2/52C2 -(2)
Let B be the event of getting KING cards,
n(B) = 4C2
P(B) = 4C2/52C2 -(3)
Also, n(A ∩ B) = 2C2
P(A ∩ B) = 2/52C2 -(4)
Now,
P(A ∪ B) = P(A) + P(B) – P(A ∩ B)
= 26 * 25/52 * 51 + 4 * 3 / 52 * 51 – 2/52 * 51
= 55/221
问题 21. 在两次考试评分的入学考试中,随机选择的学生通过考试 1 的概率为 0.8,通过第二次考试的概率为 0.7。其中一项考试通过的概率为0.95。两者都通过的概率是多少?
解决方案:
Let A be the event of selecting a random student who passed in examination 1,
P(A) = 0.8 -(1)
Let A be the event of selecting a random student who passed in examination 2,
P(B) = 0.7 -(2)
Now,
The probability of selecting a random student passing in at least one of the examination is –
P(A ∪ B) = 0.95 -(3)
Probability of passing both of the examination is P(A ∩ B),
P(A ∩ B) = P(A) + P(B) -P(A ∪ B)
= 0.8 + 0.7 – 0.95
=1.5-0.95
=0.55
问题 22。一个盒子包含 40 个螺母和 30 个螺栓。一半的螺栓和螺母生锈了。如果随机抽取两件物品,它们生锈并且都是螺栓的概率是多少?
解决方案:
A box contains 40 nuts and 30 bolts,
half of them are rusted –
=> 40/2 = 20 nuts are rusted
=> 30/2 = 15 bolts are rusted
Since two items are drawn,
Sample space n(S) = 70C2 -(1)
Let A be the event of choosing the rusted item –
n(A) = 35C2. -(20 nuts + 15 bolt = 35)
P(A) = 35C2/70C2
35 * 34/ 70 * 69 -(2)
Let B be the event of choosing two rusted bolts-
n(B) = 30C2
P(B) = 30C2/70C2
= 30 * 29 / 70 * 69 -(3)
Also, n(A n B) = 15 -(bolts are rusted)
P(A n B) = 15*14/70* 69 -(4)
Now,
P(A ∪ B) = P(A) + P(B) – P(A ∩ B)
= (35*34/70*69) + (30*29/70*69) – (15*14/70*69) -(From 2, 3, 4)
= 185/483
问题 23. 从前 200 个整数中随机选择一个整数,求该整数能被 6 或 8 整除的概率?
解决方案:
A integer is chosen at random from 200 integers,
SAMPLE SPACE = n(S) = 200 -(1)
Let A be the event of choosing a number divisible by 6,
n(A) ={6,12,18. . . 198}
n(A) = 33 (Using T n formula)
P(A) = 33/200 -(2)
Let B be the event of choosing a number divisible by 8,
n(B) = {8,16,24. . . 200}
n(B) = 25
P(B) = 25/200
= 1/4 -(3)
Also, n(A n B)= {24,48. . 192}
= 8
P(A n B) = 8/200 -(4)
Now,
P(A ∪ B) = P(A) + P(B) – P(A ∩ B)
= 1/4 -(from 2, 3, 4)
问题 24. 当硬币被抛 4 次时,找到 2 或 3 个反面的概率?
解决方案:
A coin is tossed 4 times,
Hence, Sample space – n(S) = 2 4 =16
Let A be the event of getting 2 tails,
A = {HHTT, HTHT, TTHH, THTH, THHT, HTTH}
n(A) = 6
P(A) = 6/16 -(1)
Let B the event of getting 3 tails,
B = {HTTT, THTT, TTHT, TTTH}
n(B) = 4
P(B) = 4/16 -(2)
A & B are the mutually exclusive events-
Hence, P(A ∩ B) = 0
P(A ∪ B) = P(A) + P(B) – P(A ∩ B)
= 6/16 + 4/16-0
= 10/16
= 5/8
问题 25. 假设从 1 到 1000 中选择一个整数,求它是 2 或 9 的倍数的概率?
解决方案:
A number is chosen from 1 to 1000,
Hence, sample space, n(S) = 1000
Number of multiples of 2 from 1 to 1000 are – 500
Number of multiples of 9 from 1 to 1000 are – 111
Out of 111, 55 are even numbers
Hence, total number multiple of 2 or 9 – 500 + 56
Probability of number multiple of 2 or 9 –
= 556/1000
= 0.556
问题 26。在大都市地区,一个家庭拥有彩色电视机、黑白电视机或两者兼有的概率为 0.87、0.36 和 0.30。家庭拥有其中一套的概率是多少?
解决方案:
Let A be the probability of a family having a color TV set,
P(A) = 0.87 -(1)
Let B be the probability of a family having a black and white TV set,
P(B) = 0.36 -(2)
Also, P(A ∩ B) = 0.3
P(A ∪ B) = P(A) + P(B) – P(A ∩ B)
= 0.87 + 0.36 – 0.30
= 0.93
问题 27. 如果 A 和 B 是互斥事件,使得 P(A) = 0.35 和 P(B) = 0.45 找到,
(i) P(A∪B)
(ii) P(A ∩ B)
㈢ [特克斯] [/特克斯]
(四)
*** QuickLaTeX cannot compile formula:
*** Error message:
Error: Nothing to show, formula is empty
解决方案:
(i) P(A ∪ B) = P(A) + P(B) (A and B are mutually exclusive events
i.e P( A∩ B) = 0)
= 0.80
(ii) P(A ∩ B)
P(A ∩ B) = 0 (A and B are mutually exclusive events)
(iii) = P(A)
= 0.35
(iv) = 1 – P(A ∪ B)
= 1 – 0.80
= 0.20
问题 28。样本空间由 9 个基本事件 E1、E2、E3 组成。 . . E9,其概率为 P(E1) = P(E2) = 0.08, P(E3) = P(E4) = 0.1,P(E6) = P(E7) = 0.2,P(E8) = P(E9) = 0.07,假设 A = {E1,E5,E8},B ={E2,E5,E8,E9}
(i) 计算 P(A), P(B) & P(A ∩ B)
(ii) 求 P(A ∪ B)
(iii) 列出事件 A ∪ B 的燃烧,并找到 P(A ∪ B)
(iv) 计算
*** QuickLaTeX cannot compile formula:
*** Error message:
Error: Nothing to show, formula is empty
解决方案:
Given: P(E1) = P(E2) = 0.08, P(E3) = P(E4) = 0.1, P(E6) = P(E7) = 0.2, P(E8) = P(E9) = 0.07
Suppose: A = {E1, E5, E8}, B ={E2, E5, E8, E9} -(I)
Bc = {E1,E3,E4,E6.E7}
P(E5) = 1 – (0.08 + 0.1 + 0.2 + 0.07}
=0.1
(i) P(A) = 0.08 + 0.1 + 0.07 (From Given)
= 0.25
P(B) = 0.08 + 0.1 + 0.07 + 0.07
= 0.32
P(A ∩ B) = 0.1 + 0.07
= 0.17
(ii) P(A ∪ B) = P(A) + P(B) – P(A ∩ B)
= 0.57-0.17
= 0.40
(iii) = 1 – P(B)
= 1 -0.32
= 0.68