Respuesta :
Answer:
[tex]\mathbf{(a)} P(E) = \frac{1}{8}(b-a)\\ \mathbf{(b)} P(X>5) = \frac{5}{8}, P(5<X<7) = \frac{1}{4} , P(X^2 - 12X + 35>0) = \frac{3}{4}[/tex]
Step-by-step explanation:
[tex]\mathbf{(a)}\\[/tex]
The objective is to find the density function [tex]f(x)[/tex] and the probability of the event E, which is choosing at random from the interval [tex][a,b] \subset [2,10].[/tex]
Let [tex]X[/tex] be a random variable that follows the uniform distribution on the interval [2,10]. Then, its density function is
[tex]f_x(x) = \dfrac{1}{10-2} = \dfrac{1}{8}, \quad x \in [2,10][/tex]
and 0 otherwise.
Now, we can find the probability of the event [tex]E[/tex].
[tex]P(E) = P(a\leq X\leq b) = \int \limits_{a}^{b} f_x(x)\, dx = \int \limits_{a}^{b} \frac{1}{8} \, dx = \frac{1}{8} x \Big|_{a}^{b} = \frac{1}{8} (b-a)[/tex]
[tex]\mathbf{b)}[/tex]
Let's find the probability that [tex]X>5[/tex]. By the definition, we obtain
[tex]P(X>5) = \int\limits^{10}_{5} f_x(x) \, dx = \int\limits^{10}_{5} \frac{1}{8} \, dx = \frac{1}{8} x \Big|_{5}^{10} = \frac{1}{8} (10 - 5) = \frac{5}{8}[/tex]
The probability that [tex]5<X<7[/tex] is
[tex]P(5<X<7) = \int\limits^{7}_{5} f_x(x) \, dx = \int\limits^{7}_{5} \frac{1}{8} \, dx = \frac{1}{8} x \Big|_{5}^{7} = \frac{1}{8} (7 - 5) = \frac{2}{8} = \frac{1}{4}[/tex]
To find the probability that [tex]X^2-12X + 35 > 0[/tex], first solve the inequality[tex]x^2-12x+35 > 0[/tex] .
The roots of the quadratic equation [tex]x^2-12x+35 = 0[/tex] are
[tex]x_{1/2} = \frac{12 \pm \sqrt{144- 4 \cdot 35} }{2} = \frac{12 \pm 2 }{2} = 6 \pm 1 \implies x_1 = 6+1 = 7, x_2 = 6-1 = 5[/tex]
Therefore, the solutions of the inequality are [tex]x<5[/tex] or [tex]x>7[/tex] (look at the graph below).
Now, we can calculate the probability as follows
[tex]P(X^2-12X+ 35 > 0) = P(X<5 \; \text{or} \; \text X>7)[/tex]
It is easier to calculate the probability using the complementary event.
The complementary event of [tex]X<5[/tex] or [tex]X>7[/tex] is
[tex]\neg (X< 5 \; \vee \; X>7) \iff X>5 \;\wedge \; X<7 \iff 5 < X < 7[/tex]
and the probability of this event is
[tex]P(5<X<7) = 1 - P (X <5 \; \text{or} \; X>7)[/tex]
Therefore, our probability is
[tex]P (X <5 \; \text{or} \; X>7) = 1- P(5<X<7) = 1 - \int\limits^7_5 f_x(x)\, dx \\\phantom{P (X <5 \; \text{or} \; X>7) }=1- \frac{1}{8} x \Big|_{5}^{7} = 1 -\frac{1}{8} (7 - 5) = 1-\frac{2}{8} = \frac{3}{4}[/tex]
