(Step-by-Step) In probability and statistics, you learn about probability density functions associated with a random variable X. They are functions f: R


Question: In probability and statistics, you learn about probability density functions associated with a random variable \(X\). They are functions \(f: \mathbf{R} \rightarrow \mathbf{R}\) such that (i) \(f(x) \geq 0\) for all \(x \in(-\infty, \infty)\) and (ii) \(\int_{-\infty}^{\infty} f(x) d x=1 .\) Determine the real number \(k\) so that

\[f(x)= \begin{cases}k x^{2} & \text { if } x \in[0,1] \\ 0 & \text { otherwise }\end{cases}\]

is a probability density function. That is, determine \(k\) so that

\[\int_{0}^{1} k x^{2} d x=1\]

then given your \(k\), verify that \(f(x) \geq 0\) for all \(x \in(-\infty, \infty)\).

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