Let $X \sim N(3,4)$. Find $\mathbb{P}(X\lt7)$, $\mathbb{P}(X \ge 9)$, and $\mathbb{P}(|x-3|\lt 2) $
Okay lets figure out the PDF.
$\mu=3$, $\sigma=4$.
$$f(X)= \frac{e^\left(\frac{-(x-\mu)^2}{2 \sigma^2}\right)}{\sigma\sqrt{2\pi}} $$
Plugging it all in I get:
$$f(X)= \frac{e^\left(\frac{-(x-3)^2}{2\cdot4^2}\right)}{4\sqrt{2\pi}} $$
$$f(X)= \frac{e^\left(\frac{-(x-3)^2}{32}\right)}{4\sqrt{2\pi}} $$
Now that we have our PDF, we can calculate $\mathbb{P}(X<7)$ and the rest, which is what I'm having difficulties with.
Am I correct in saying that $\mathbb{P}(X<7) = f(x=7)$, or would it be $1-f(x=7)$?
If $f(x)$ is the probability density function, then $P(X<X_0)$ is an integral of $f(x)$:
$$P(X<X_0) = \int_{-\infty}^{X_0} f(x)\,dx$$
But for the probability density function $f$ for the normal distribution this integral is difficult to express in terms of commonly used functions. It is usually tabulated or calculated numerically.
For the other intervals you can use complementary probability: $$P(X<X_0) + P(X\geq X_0) = 1 \Leftrightarrow\\\text{or}\\P(X\geq X_0) = 1-P(X<X_0)$$
and the fact that $P(X<X_1 \& \text{not}(X<X_0)) = P(X<X_1) - P(X<X_0)$
You can derive this fact from the integral definition with some rules for adding integrals:
$$\int_a^bf(x)\,dx + \int_b^cf(x)\,dx = \int_a^cf(x)\,dx$$