3. Given that
\[ f(x)=\left\{\begin{array}{cc}1 \sqrt{x}, & 0
Ask by Turner Pope. in the United States
Feb 20,2025
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Extra Insights
To evaluate the constant \( k \) in the probability density function \( f(x) \), we need to ensure that the total area under the curve equals 1. a) The function \( f(x) \) is defined as \( f(x) = \sqrt{x} \) for \( 0 < x < 1 \) and \( f(x) = 0 \) otherwise. Thus, we calculate: \[ \int_0^1 f(x) \, dx = \int_0^1 \sqrt{x} \, dx = \left[ \frac{2}{3} x^{3/2} \right]_0^1 = \frac{2}{3}(1^{3/2} - 0^{3/2}) = \frac{2}{3}. \] To normalize the density function, we set \( k \cdot \frac{2}{3} = 1 \), giving us \( k = \frac{3}{2} \). b) To find \( P(0.3 < X < 0.6) \), we compute: \[ P(0.3 < X < 0.6) = \int_{0.3}^{0.6} f(x) \, dx = \int_{0.3}^{0.6} \sqrt{x} \, dx. \] Calculating the integral, we have: \[ \left[ \frac{2}{3} x^{3/2} \right]_{0.3}^{0.6} = \frac{2}{3} (0.6^{3/2} - 0.3^{3/2}). \] Calculating \( 0.6^{3/2} = \sqrt{0.6^3} = \sqrt{0.216} \approx 0.464 \) and \( 0.3^{3/2} = \sqrt{0.3^3} = \sqrt{0.027} \approx 0.165 \): \[ P(0.3 < X < 0.6) \approx \frac{2}{3} (0.464 - 0.165) \approx \frac{2}{3} \times 0.299 \approx 0.199. \]
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