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  • https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/05%3A_Continuous_Random_Variables/5.11%3A_Chapter_Solution_(Practice__Homework)
    Figure \PageIndex{38} Figure \PageIndex{41}
  • https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/05%3A_Continuous_Random_Variables/5.11%3A_Chapter_Solution_(Practice__Homework)
    82. P(X>650)=\frac{700-650}{700-300}=\frac{50}{400}=\frac{1}{8}=0.125. P(400 <650)> 84. \(X = the useful life of a particular car battery, measured in months. X is continuous. The cdf is \...82. P(X>650)=\frac{700-650}{700-300}=\frac{50}{400}=\frac{1}{8}=0.125. P(400 <650)> 84. \(X = the useful life of a particular car battery, measured in months. X is continuous. The cdf is P(T<t)> \(P(T<2)=1-1-e^{-\frac{2}{7}} \approx 0.2485. P(T>15)=1-P(T<15)=1-\left(1-e^{-\frac{15}{7}}\right) \approx e^{-\frac{15}{7}} \approx 0.1173. P(T>15 | T>10)=P(T>5)=1-\left(1-e^{-\frac{5}{7}}\right)=e^{-\frac{5}{7}} \approx 0.4895.
  • https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/BFE_1201_Statistical_Methods_for_Finance_(Kuter)/04%3A_Random_Variables/4.S%3A_Random_Variables_(Solutions-_Practice__Homework)/1.01%3A_Uniform__Exponential_Solution_(Practice__Homework)
    Figure \PageIndex{38} Figure \PageIndex{41}

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