Explanation
To find the difference between the 70th and 30th percentiles, we need to calculate each percentile separately using the given probability density function (PDF).
Step 1: Find the cumulative distribution function (CDF)
The PDF is given as:
fX(x)=x32(200)2 for x>200
To find the CDF, we integrate the PDF from 200 to x:
F(x)=∫200xt32(200)2dt
Step 2: Calculate the 30th percentile (q₃₀)
We need to find q₃₀ such that F(q₃₀) = 0.3:
∫200q30t32(200)2dt=0.3
Solving the integral:
∫t32(200)2dt=−t2(200)2+C
So:
[−t2(200)2]200q30=0.3
−(q30)2(200)2+(200)2(200)2=0.3
−(q30)2(200)2+1=0.3
‘1` - \frac{(200)^2}{(q_{30})^2} = 0.3\frac{(200)^2}{(q_{30})^2} = 0.7(q_{30})^2 = \frac{(200)^2}{0.7}q_{30} = \frac{200}{\sqrt{0.7}} \approx 239.05$$
Step 3: Calculate the 70th percentile (q₇₀)
Similarly, for q₇₀ where F(q₇₀) = 0.7:
∫200q70t32(200)2dt=0.7
‘1` - \frac{(200)^2}{(q_{70})^2} = 0.7\frac{(200)^2}{(q_{70})^2} = 0.3(q_{70})^2 = \frac{(200)^2}{0.3}q_{70} = \frac{200}{\sqrt{0.3}} \approx 365.15$$
Step 4: Calculate the difference
q70−q30=365.15−239.05=126.10
Therefore, the difference between the 70th and 30th percentiles is 126.10, which corresponds to option B.
Key Concepts:
- Percentile calculation from a continuous probability distribution
- Integration of PDF to obtain CDF
- Solving for quantiles using the inverse CDF method
- This is a Pareto distribution with shape parameter α = 2 and scale parameter θ = 200