- Asked 3/17
- 2075 Asoj · 6 marks
- 2073 Chaitra · 5 marks
- 2072 Kartik · 5 marks
Exponential cdf: P(X>2), mean, variance
Short answer
The distribution is exponential with rate 2. P(X>2)=e^-4=0.0183, mean=0.5, and variance=0.25.
The distribution function for a random variable x is F(x) = 1 − e^(−2x) for x ≥ 0 = 0 for x < 0 a) Find P(X > 2) b) Find mean and variance of the variable X.
The distribution function F(x) = 1 − e⁻²ˣ (x ≥ 0) is that of an exponential distribution with rate λ = 2. Its pdf is
f(x) = dF/dx = 2e⁻²ˣ, x ≥ 0.
a) P(X > 2)
P(X > 2) = 1 − F(2) = 1 − (1 − e⁻⁴) = e⁻⁴ = 0.0183
b) Mean and variance
E(X) = ∫₀^∞ x · 2e⁻²ˣ dx = 1/2 = 0.5
E(X²) = ∫₀^∞ x² · 2e⁻²ˣ dx = 2/λ² = 2/4 = 0.5
Var = E(X²) − [E(X)]² = 0.5 − 0.25 = 0.25
(Integration by parts, or the standard results mean = 1/λ and variance = 1/λ².)
Answer: P(X > 2) = e⁻⁴ = 0.0183, mean = 0.5, variance = 0.25
✓ Answer checked by Claude Sonnet 5.5
Related questions
- pdf k(5+2x): find k, mean, variance · Probability and Statistics, chapter 3 · asked 2×
- Continuous random variable; pdf properties · Probability and Statistics, chapter 3
- pdf kx³(4−x)²: k, mean, variance · Probability and Statistics, chapter 3 · asked 2×
- Verify pdf 2e^(−2x); P(1<x<3); mean · Probability and Statistics, chapter 3
- pmf with unknown K: mean, variance · Probability and Statistics, chapter 2
- Expectation of discrete variable; P(X≥4) · Probability and Statistics, chapter 2
- Moments of random variable; NEB of RC-LPF; output noise power · Communication Systems, chapter 9
- Cost variance analysis from standard and actual · Engineering Economics, chapter 1
- Variance analysis, 9,300 vs 10,500 units · Engineering Economics, chapter 1
- Random process; white noise PSDF and autocorrelation · Communication Systems, chapter 9 · asked 2×