Question related to Integration and Probability Density Functions

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My question is regarding integration questions related to the probabilities of continuous random variables.

If X = 0 to 5 is represented by f1(x) and X=5 to 10 is represented by f2(x) and we want P(0<=X<=10). Would the answer be integral over 0 to 5 for f1(x) + integral of 5 to 10 for f2(x)? That is I am confused when we are to calculate probabilities that are represented by 2 sets of functions. Also are the endpoints exclusive or inclusive to probability calculations? If I calculate the integral of 0-10 will 0 and 10 be included as probabilities? I am guessing though that for continuous RV's P(0<=X<=10) is the same as any combination of <=,>=,<,> as after all they cannot take discrete values.

Any help would be appreciated.

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Yes to your first question: You have it right about integrating each function in the range in which it applies. For example: $$ f(x) =\left\{ \begin{array}{cc} \frac{x^2}{144} & 0\leq x<6 \\ \frac{x}{64} & 6 \leq x \leq 10 \end{array} \right. $$ Then $$P(2<x<7) = \int_2^6 \frac{x^2}{144} dx + \int_6^7 \frac{x}{64} dx $$ For the question about discrete values: If the functions $f(x)$ involve no $\delta$-functions, that is, if the distribution has no discrete properties, then inclusion or exclusion of the endpoints does not matter.

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If $X$ admits a density $f$ which a piecewise continuous function over $[0,10]$ such that $$ f(x) = \begin{cases} f_1(x), & \text{if $0\leq x \leq 5$,} \\[2ex] f_2(x), & \text{if $5\leq x \leq 10,$} \end{cases} $$ then $$ P(0\leq X\leq10)=\int_0^5f_1(x) \:dx+\int_5^{10}f_2(x) \:dx. $$ Since $f_1$ and $f_2$ are continuous, you get $$ P(0< X\leq10)=P(0< X<10)=P(0\leq X\leq10)=\cdots, $$ resulting from $$ \int_a^af_1(x) \:dx=0=\int_b^bf_2(x) \:dx, \quad a,b \in [0,10]. $$

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We have $p \{x\} = \int_{\{x\}} f(t) dt = 0$, so you have $p [a,b] = p[a,b) = \dots$, that is, the addition of removal of single (in fact countable, if you want) point will not change the value of the probability.

In your case, you can define $f(x) = \begin{cases} f_1(x), & x \in [0,5) \\ f_2(x), & x \in [5,10] \end{cases}$ and so the probability will be $p [0,10] = \int_{[0,10]} f(t) dt$.