The problem provides the distribution of a discrete random variable $X$ and asks us to find the value of $a$, the distribution function $F(x)$, the mode, the expected value $M(X)$, the variance $D(X)$, and the standard deviation $\sigma(X)$. The distribution is given by: $P(X=1) = 0.3$ $P(X=2) = 0.4$ $P(X=4) = a$ $P(X=8) = 2a$

Probability and StatisticsDiscrete Random VariableProbability DistributionExpected ValueVarianceStandard DeviationModeDistribution Function
2025/4/17

1. Problem Description

The problem provides the distribution of a discrete random variable XX and asks us to find the value of aa, the distribution function F(x)F(x), the mode, the expected value M(X)M(X), the variance D(X)D(X), and the standard deviation σ(X)\sigma(X). The distribution is given by:
P(X=1)=0.3P(X=1) = 0.3
P(X=2)=0.4P(X=2) = 0.4
P(X=4)=aP(X=4) = a
P(X=8)=2aP(X=8) = 2a

2. Solution Steps

1) Find the value of aa:
Since the sum of probabilities must equal 1, we have:
0.3+0.4+a+2a=10.3 + 0.4 + a + 2a = 1
0.7+3a=10.7 + 3a = 1
3a=10.73a = 1 - 0.7
3a=0.33a = 0.3
a=0.1a = 0.1
2) Find the distribution function F(x)F(x):
The distribution function F(x)F(x) is defined as F(x)=P(Xx)F(x) = P(X \le x).
$F(x) = \begin{cases}
0, & x < 1 \\
0.3, & 1 \le x < 2 \\
0.3 + 0.4 = 0.7, & 2 \le x < 4 \\
0.7 + a = 0.7 + 0.1 = 0.8, & 4 \le x < 8 \\
0.8 + 2a = 0.8 + 2(0.1) = 0.8 + 0.2 = 1, & x \ge 8
\end{cases}$
The graph of F(x)F(x) is a step function with jumps at x=1,2,4,8x = 1, 2, 4, 8.
3) Find the mode:
The mode is the value of XX with the highest probability. We have:
P(X=1)=0.3P(X=1) = 0.3
P(X=2)=0.4P(X=2) = 0.4
P(X=4)=a=0.1P(X=4) = a = 0.1
P(X=8)=2a=0.2P(X=8) = 2a = 0.2
The highest probability is 0.40.4, which corresponds to X=2X=2.
Thus, the mode is
2.
4) Find M(X)M(X), D(X)D(X), and σ(X)\sigma(X):
M(X)=xiP(X=xi)=1(0.3)+2(0.4)+4(0.1)+8(0.2)=0.3+0.8+0.4+1.6=3.1M(X) = \sum x_i P(X=x_i) = 1(0.3) + 2(0.4) + 4(0.1) + 8(0.2) = 0.3 + 0.8 + 0.4 + 1.6 = 3.1
M(X)=3.1M(X) = 3.1
D(X)=(xiM(X))2P(X=xi)=(13.1)2(0.3)+(23.1)2(0.4)+(43.1)2(0.1)+(83.1)2(0.2)D(X) = \sum (x_i - M(X))^2 P(X=x_i) = (1-3.1)^2(0.3) + (2-3.1)^2(0.4) + (4-3.1)^2(0.1) + (8-3.1)^2(0.2)
D(X)=(2.1)2(0.3)+(1.1)2(0.4)+(0.9)2(0.1)+(4.9)2(0.2)=4.41(0.3)+1.21(0.4)+0.81(0.1)+24.01(0.2)D(X) = (-2.1)^2(0.3) + (-1.1)^2(0.4) + (0.9)^2(0.1) + (4.9)^2(0.2) = 4.41(0.3) + 1.21(0.4) + 0.81(0.1) + 24.01(0.2)
D(X)=1.323+0.484+0.081+4.802=6.69D(X) = 1.323 + 0.484 + 0.081 + 4.802 = 6.69
D(X)=6.69D(X) = 6.69
σ(X)=D(X)=6.692.5865\sigma(X) = \sqrt{D(X)} = \sqrt{6.69} \approx 2.5865

3. Final Answer

1) a=0.1a = 0.1
2) $F(x) = \begin{cases}
0, & x < 1 \\
0.3, & 1 \le x < 2 \\
0.7, & 2 \le x < 4 \\
0.8, & 4 \le x < 8 \\
1, & x \ge 8
\end{cases}$
3) Mode = 2
4) M(X)=3.1M(X) = 3.1, D(X)=6.69D(X) = 6.69, σ(X)2.5865\sigma(X) \approx 2.5865

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