3. Piecewise pdf. Let random variable X have pdf x, 0


3. Piecewise pdf. Let random variable X have pdf<br>x,<br>0 < x < 1,<br>2 - x, 1<x < 2,<br>0,<br>f(x) =<br>elsewhere.<br>density, pdf f(x)<br>probability, cdf F(x) = P(X < x)<br>0.75 -<br>0.75 +<br>0.50<br>0.50 +<br>0.25+<br>0.25+<br>+<br>2<br>1<br>Figure 3.5: f(x) and F(x)<br>(а) Еареcted value.<br>3.<br>

Extracted text: 3. Piecewise pdf. Let random variable X have pdf x, 0 < x="">< 1,="" 2="" -="" x,="">< 2,="" 0,="" f(x)="elsewhere." density,="" pdf="" f(x)="" probability,="" cdf="" f(x)="P(X">< x)="" 0.75="" -="" 0.75="" +="" 0.50="" 0.50="" +="" 0.25+="" 0.25+="" +="" 2="" 1="" figure="" 3.5:="" f(x)="" and="" f(x)="" (а)="" еареcted="" value.="">

Jun 08, 2022
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