第 12 类 RD Sharma 解决方案 - 第 33 章二项分布 - 练习 33.2 |设置 2
问题 15. 掷三次骰子。一次投掷 1 或 6 就是成功。求成功次数的均值和方差。
解决方案:
Let p denote the success and q denote failure of an event.
Now, the sample space when a dice is thrown is given by S = {1, 2, 3, 4, 5, 6}
Hence, p = 2/6 = 1/3 and q = 1 – 1/3 = 2/3
Therefore, Mean = np = 3 × 1/3 = 1 and Variance = npq = 1 × 2/3 = 2/3
问题 16. 如果随机变量 X 服从均值为 3,方差为 3/2 的二项分布,求 P (X ≤ 5)。
解决方案:
We are given mean (np) = 3 and variance (npq) = 3/2.
Solving for the value of q,
q = 1/2, hence we can conclude p = 1 – 1/2 = 1/2
Now putting the value of p in relation, np = 3, we get n = 6
We know that a binomial distribution follows the relation:
P(X = r) = nCr pr(q)n-r
Therefore, in this case P(X = r) = 6Cr (1/2)r(1/2)6-r
P(X = r) = 6Cr (1/2)6
We are required to calculate the value for P(X ≤ 5) = 1 – P(X = 6)
P(X ≤ 5) = 1 – 6Cr (1/2)6
P(X ≤ 5) = 1 – (1/64)
P(X ≤ 5) = 63/64
问题 17.如果 X 服从均值为 4,方差为 2 的二项分布,求 P(X ≥ 5)。
解决方案:
We are given mean (np) = 4 and variance (npq) = 2.
Solving for the value of q, npq/np = 2/4
q = 1/2, hence we can conclude p = 1 – 1/2 = 1/2
Now putting the value of p in relation, np = 4, we get n = 8
We know that a binomial distribution follows the relation: P(X = r) = nCr pr(q)n-r
Therefore, in this case P(X = r) = 8Cr (1/2)r(1/2)8-r
P(X = r) = 8Cr (1/2)8
We are required to calculate the value
P(X ≥ 5) = P(X = 5) + P(X = 6) + P(X = 7) + P(X = 8)
P(X ≥ 5) = 8C5 (1/2)8 + 8C6 (1/2)8 + 8C7 (1/2)8 + 8C8 (1/2)8
P(X ≥ 5) = (1/2)8[8C5 + 8C6 + 8C7 + 8C8]
P(X ≥ 5) = (56 + 28 + 8 + 1)/256
P(X ≥ 5) = 93/256
问题 18.二项分布的均值和方差分别为 4/3 和 8/9。求 P(X ≥ 1)。
解决方案:
We are given mean (np) = 4 and variance (npq) = 2
Solving for the value of q, npq/np =
q = 2/3, hence we can conclude p = 1 – 2/3 = 1/3
Now putting the value of p in relation, np = 4/3, we get n = 4
We know that a binomial distribution follows the relation: P(X = r) = nCr pr(q)n-r
Therefore, in this case P(X = r) = 4Cr (1/3)r(2/3)4-r
We are required to calculate the value for P(X ≥ 1) = 1 – P(X = 0)
P(X ≥ 1) = 1 – 4C0 (1/3)0(2/3)4
P(X ≥ 1) = 1 – 16/81
P(X ≥ 1) = 65/81
问题 19.如果 6 次试验的二项式分布的均值和方差之和为 10/3,求分布。
解决方案:
Given n = 6 and np + npq = 10/3
np (1 + q) = 10/3
6p (1 + 1 – p) = 10/3
12p – 6p2 = 10/3
18p2 – 36p + 10 = 0
Solving for the value of p we will get p = 1/3 or p = 5/3.
Since, the value of p cannot exceed 1, we will consider p = 1/3.
Therefore, q = 1 – 1/3 = 2/3
Now, a binomial distribution is given by the relation: nCr pr(q)n-r
P(x = r) = 6Cr (1/3)r(2/3)6-r for r = 0,1,2,….,6
问题 20.一对骰子被掷了 4 次。如果获得双峰被认为是成功的,请找到成功次数的概率分布,从而找到它的均值。
解决方案:
We are given n = 4 and
a doublet in the throw of a dice occurs when we get (1, 1), (2, 2), (3, 3), (4, 4), (5, 5), (6, 6)
Therefore, the probability of success, p = 6/36 = 1/6, so q = 1 – 1/6 = 5/6
Now, a binomial distribution is given by the relation: nCr pr(q)n-r
P(x = r) = 4Cr (1/6)r(5/6)4-r for r = 0, 1, 2, 3, 4
Hence, the probability distribution is given as: X 0 1 2 3 4P(X) 625/1296 500/1296 150/1296 20/1296 1/1296
Mean = 0 × (625/1296) + 1 × (500/1296) + 2 × (150/1296) + 3 × (20/1296) + 0 × (1/1296)
= 864/ 1296
= 2/3
问题 21.求一对骰子投掷 3 次中双骰数的概率分布,并求其均值。
解决方案:
We are given n = 3 and
a doublet in the throw of a dice occurs when we get (1, 1), (2, 2), (3, 3), (4, 4), (5, 5), (6, 6)
Therefore, the probability of success, p = 6/36 = 1/6, so q = 1 – 1/6 = 5/6
Now, a binomial distribution is given by the relation: nCr pr(q)n-r
P(x = r) = 3Cr (1/6)r(5/6)3-r for r = 0, 1, 2, 3
Hence, the probability distribution is given as: X 0 1 2 3P(X) 125/216 75/216 15/216 1/216
Mean = 0 × (125/216) + 1 × (75/216) + 2 × (15/216) + 3 × (1/216)
= 108/216
= 1/2
问题 22.从包含 5 个缺陷的 15 个灯泡中,一个一个地抽取 4 个灯泡的样品并更换。求缺陷灯泡数量的概率分布。因此,求分布的均值。
解决方案:
Total number of bulbs = 15 and total defective bulbs = 5
Thus, the probability of getting one defective bulb with replacement, p = 5/15 = 1/3
Hence, q = 1 – 1/3 = 2/3.
Now, a binomial distribution is given by the relation: nCr pr(q)n-r
P(x = r) = 4Cr (1/3)r(2/3)4-r for r = 0, 1, 2, 3, 4
Hence, the probability distribution is given as: X 0 1 2 3 4P(X) 16/81 32/81 24/81 8/81 1/81
Mean = 0 × (16/81) + 1 × (32/81) + 2 × (24/81) + 3 × (8/81) + 4 × (1/81)
= 108/81
= 4/3
问题 23. 掷骰子 3 次。令 X 为“看到的二的数量”。求 X 的期望。
解决方案:
We are given the number of throws, n = 3
Let p denote the probability of getting a 2 in the throw of a dice, then p = 1/6
Therefore, we can conclude 1 = 1 – 1/6 = 5/6
Now, the expectation of X denotes mean therefore, E(X) = np = 3 × 1/6 = 1/2
问题 24.掷骰子两次。 “成功”是在掷骰中得到偶数。求成功次数的方差。
解决方案:
We are given the number of times the coin is tossed, n = 2
Let p denote the probability of getting even number on dice upon throwing which is a success.
Thus, p = 3/6 = 1/2, therefore we can conclude q = 1 – p = 1 – 1/2 = 1/2
Now, the variance is given by npq.
Variance = 2 × 1/2 × 1/2 = 1/2
问题 25. 从一副洗好的 52 张牌中依次抽出三张牌并替换。求黑桃数量的概率分布。因此,求分布的均值。
解决方案:
Number of cards drawn with replacement, n = 3
p = Probability of getting a spade card upon withdrawal = 13/52 = 1/4
Thus, we can conclude, q = 1 – 1/4 = 3/4
Now, a binomial distribution is given by the relation: nCr pr(q)n-r
P(x = r) = 3Cr (1/4)r(3/4)3-r for r = 0, 1, 2, 3
Hence, the probability distribution is given as: X 0 1 2 3P(X) 27/64 27/64 9/64 1/64
Mean = 0 × (27/64) + 1 × (27/64) + 2 × (9/64) + 3 × (1/64)
= (27 + 18 + 3)/64
= 48/64
= 3/4
问题 26.一个瓮中有 3 个白球和 6 个红球。四个球一一抽出,并从瓮中更换。求出红球数的概率分布。另外,求分布的均值和方差。
解决方案:
Let p denote the probability of drawing a red ball which is considered a success, p = 6/9 = 2/3
And the probability of drawing a white ball which is considered a failure, q = 3/9 = 1/3
We have to draw four balls, so n = 4.
Hence, the mean of the probability distribution = np = 4 × 2/3 = 8/3
And variance = npq = 8/3 × 1/3 = 8/9
Now, a binomial distribution is given by the relation: nCr pr(q)n-r
P(x = r) = 4Cr (2/3)r(1/3)4-r for r = 0, 1, 2, 3, 4
Hence, the probability distribution is given as: X 0 1 2 3 4P(X) 1/81 8/81 24/81 32/81 16/81
问题 27. 5 个坏橙子不小心与 20 个好橙子混在一起。如果四个橙子一个接一个地被放回,则求出坏橙子数量的概率分布。因此,找到分布的均值和方差。
解决方案:
Let p denote the probability of drawing a bad orange which is considered a success, p = 5/25 = 1/5
And the probability of drawing a good orange which is considered a failure, q = 20/25 = 4/5
We have to draw four oranges, so n = 4
Hence, the mean of the probability distribution = np = 4 × 1/5 = 4/5
And the variance = npq = 4/5 × 4/5 = 16/25
Now, a binomial distribution is given by the relation: nCr pr(q)n-r
P(x = r) = 4Cr (1/5)r(4/5)4-r for r = 0, 1, 2, 3, 4
Hence, the probability distribution is given as: X 0 1 2 3 4P(X) 256/625 256/625 96/625 16/625 1/625