安东尼用一个均匀的四面骰子玩游戏,骰子的四个面上分别印有数字 1、2、3 和 4。安东尼掷骰子,如果结果是质数,他将赢得与该数字等额的美元。相反,如果结果是非质数,安东尼将失去与该数字等额的美元。随机变量 XX 表示安东尼在一次掷骰子中赢取的金额。

  1. (a)

    列表表示 XX 的概率分布,并求出 E(X)\text{E}(X) 的值。

  2. (b)

    求 XX 的方差值。

  3. (c)

    随机变量 X1X_1 和 X2X_2 是对 XX 的两个独立观测。通过画出 ∣X1+X2∣|X_1 + X_2| 的结果表格或通过其他方法,求 E(∣X1+X2∣)\text{E}(|X_1 + X_2|)。

  4. (d)

    现在假设使用一个不均匀的六面骰子来代替,骰子各面印有数字 2、3、4、5、6 和 7,玩同样的游戏。已知对于这个不均匀的骰子,获得“3”的概率是 pp,获得“5”的概率是 2p2p,而其余四个数字出现的概率均相等。

    求出在使用该不均匀骰子时,使游戏公平的 pp 的准确值。

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完整解法

7(a)

1. Determine the possible values of $X$ and their probabilities, and construct the probability distribution table.

The possible outcomes of the die are 1, 2, 3, and 4.

  • The prime numbers are 2 and 3, corresponding to wins (X=2X = 2 and X=3X = 3).
  • The non-prime numbers are 1 and 4, corresponding to losses (X=−1X = -1 and X=−4X = -4).

Since the four-sided die is fair, each outcome has a probability of 14\frac{1}{4}.

x−4−123P(X=x)14141414\begin{array}{|c|c|c|c|c|} \hline x & -4 & -1 & 2 & 3 \\ \hline P(X=x) & \frac{1}{4} & \frac{1}{4} & \frac{1}{4} & \frac{1}{4} \\ \hline \end{array}

2. Calculate the expected value $\text{E}(X)$.

E(X)=∑x P(X=x)\text{E}(X) = \sum x \, P(X=x)
E(X)=(−4)(14)+(−1)(14)+(2)(14)+(3)(14)\text{E}(X) = (-4)\left(\frac{1}{4}\right) + (-1)\left(\frac{1}{4}\right) + (2)\left(\frac{1}{4}\right) + (3)\left(\frac{1}{4}\right)
E(X)=−1−0.25+0.5+0.75\text{E}(X) = -1 - 0.25 + 0.5 + 0.75
E(X)=0\text{E}(X) = 0

答案
x−4−123P(X=x)14141414\begin{array}{|c|c|c|c|c|} \hline x & -4 & -1 & 2 & 3 \\ \hline P(X=x) & \frac{1}{4} & \frac{1}{4} & \frac{1}{4} & \frac{1}{4} \\ \hline \end{array}

E(X)=0\text{E}(X) = 0

7(b)

1. Calculate $\text{E}(X^2)$ based on the probability distribution from part (a)

From part (a), the values of XX are −4-4, −1-1, 22, and 33, each with probability 14\frac{1}{4}.

E(X2)=∑x2P(X=x)\text{E}(X^2) = \sum x^2 \text{P}(X=x)
E(X2)=14((−4)2+(−1)2+22+32)\text{E}(X^2) = \frac{1}{4}((-4)^2 + (-1)^2 + 2^2 + 3^2)
E(X2)=14(16+1+4+9)\text{E}(X^2) = \frac{1}{4}(16 + 1 + 4 + 9)
E(X2)=14(30)=7.5\text{E}(X^2) = \frac{1}{4}(30) = 7.5

2. Calculate the variance using $\text{Var}(X) = \text{E}(X^2) - [\text{E}(X)]^2$

Using E(X)=0\text{E}(X) = 0 found in part (a):
Var(X)=E(X2)−[E(X)]2\text{Var}(X) = \text{E}(X^2) - [\text{E}(X)]^2
Var(X)=7.5−02\text{Var}(X) = 7.5 - 0^2
Var(X)=7.5\text{Var}(X) = 7.5

答案

7.57.5

7(c)

1. Identify the values of $X$ and construct the table of outcomes for $|X_1 + X_2|$.

From part (a), the possible amounts won are 22 and 33 (prime numbers), and the possible amounts lost are −1-1 and −4-4 (non-prime numbers). Thus, the possible values of XX are −4,−1,2, and 3-4, -1, 2, \text{ and } 3.

Using these values, we draw a table of outcomes for ∣X1+X2∣|X_1 + X_2|:

∣X1+X2∣X2=−4X2=−1X2=2X2=3X1=−4∣−8∣=8∣−5∣=5∣−2∣=2∣−1∣=1X1=−1∣−5∣=5∣−2∣=2∣1∣=1∣2∣=2X1=2∣−2∣=2∣1∣=1∣4∣=4∣5∣=5X1=3∣−1∣=1∣2∣=2∣5∣=5∣6∣=6 \begin{array}{|c|c|c|c|c|} \hline |X_1 + X_2| & X_2 = -4 & X_2 = -1 & X_2 = 2 & X_2 = 3 \\ \hline X_1 = -4 & |-8|=8 & |-5|=5 & |-2|=2 & |-1|=1 \\ \hline X_1 = -1 & |-5|=5 & |-2|=2 & |1|=1 & |2|=2 \\ \hline X_1 = 2 & |-2|=2 & |1|=1 & |4|=4 & |5|=5 \\ \hline X_1 = 3 & |-1|=1 & |2|=2 & |5|=5 & |6|=6 \\ \hline \end{array}

2. Calculate the expected value $\text{E}(|X_1 + X_2|)$.

Since the 4-sided die is fair, each of the 1616 outcomes in the table is equally likely and occurs with a probability of 116\frac{1}{16}.

To find the expected value, we sum all the values in the table and multiply by 116\frac{1}{16}:

E(∣X1+X2∣)=∑y P(∣X1+X2∣=y)=116(8+5+2+1+5+2+1+2+2+1+4+5+1+2+5+6)=5216=3.25 \begin{aligned} \text{E}(|X_1 + X_2|) &= \sum y \, \text{P}(|X_1 + X_2| = y) \\ &= \frac{1}{16} (8 + 5 + 2 + 1 + 5 + 2 + 1 + 2 + 2 + 1 + 4 + 5 + 1 + 2 + 5 + 6) \\ &= \frac{52}{16} \\ &= 3.25 \end{aligned}
答案

3.253.25

7(d)

1. Express the probability of the other equally likely outcomes in terms of $p$.

Let the probability of obtaining 2, 4, 6 or 7 be qq.
Since the sum of all probabilities must be 1:
p+2p+4q=1p + 2p + 4q = 1
4q=1−3p  ⟹  q=1−3p44q = 1 - 3p \implies q = \frac{1 - 3p}{4}

2. Formulate the expected winnings in terms of $p$ and $q$.

Let YY be the random variable for the amount of money won.
Identify the prime outcomes (winnings) as 2, 3, 5, 7 and non-prime outcomes (losses) as 4, 6.
E(Y)=2(q)+3(p)−4(q)+5(2p)−6(q)+7(q)\text{E}(Y) = 2(q) + 3(p) - 4(q) + 5(2p) - 6(q) + 7(q)
E(Y)=13p+q(2−4−6+7)\text{E}(Y) = 13p + q(2 - 4 - 6 + 7)
E(Y)=13p−q\text{E}(Y) = 13p - q

3. Equate the expected winnings to zero for a fair game and solve for $p$.

For a game to be fair, the expected winnings must be zero, so E(Y)=0\text{E}(Y) = 0.
13p−q=0  ⟹  q=13p13p - q = 0 \implies q = 13p
Substitute q=1−3p4q = \frac{1 - 3p}{4}:
13p=1−3p413p = \frac{1 - 3p}{4}
52p=1−3p52p = 1 - 3p
55p=1  ⟹  p=15555p = 1 \implies p = \frac{1}{55}

答案

155\frac{1}{55}

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