Step 1: Understanding the Median
The median of a random variable \( X \) is the value \( m \) such that \( F(m) = 0.5 \). We are given that the median is \( \frac{1}{\sqrt{2}} \), so we need to solve for \( \alpha \) when \( F\left( \frac{1}{\sqrt{2}} \right) = 0.5 \).
Step 2: Using the Distribution Function
From the given distribution function, for \( 0 \leq x < 1 \), the CDF is: \[ F(x) = \alpha(1 + 2x^2). \] We substitute the median value \( x = \frac{1}{\sqrt{2}} \) into this expression: \[ F\left( \frac{1}{\sqrt{2}} \right) = \alpha \left( 1 + 2 \left( \frac{1}{\sqrt{2}} \right)^2 \right). \] Simplifying the expression: \[ F\left( \frac{1}{\sqrt{2}} \right) = \alpha \left( 1 + 2 \times \frac{1}{2} \right) = \alpha(2). \] We are told that the median is \( \frac{1}{\sqrt{2}} \), so: \[ F\left( \frac{1}{\sqrt{2}} \right) = 0.5. \] Thus, we have: \[ \alpha \times 2 = 0.5 \quad \Rightarrow \quad \alpha = \frac{0.5}{2} = \frac{1}{4}. \] Thus, the value of \( \alpha \) is \( \boxed{\frac{1}{4}} \).
Let \( X \) be a random variable with distribution function \( F \), such that \[ \lim_{h \to 0^-} F(3 + h) = \frac{1}{4} \quad {and} \quad F(3) = \frac{3}{4}. \] {Then } \( 16 \, {Pr}(X = 3) \) equals _________ (answer in integer).
The cumulative distribution function of a random variable \( X \) is given by 
Which of the following statements is (are) TRUE?