Missed work hours caused by one of a class of industrial accidents has a probability density function $f ( t ) = \frac { 1 } { 8 } e ^ { - t } + \frac { 3 } { 8 } e ^ { - t / 2 } + \frac { 1 } { 24 } e ^ { - t / 3 }$ where t is measured in hours.
-Dr. Smith's test score distribution is characterized by the probability density function $f ( x ) = \frac { x \left( 10,000 - x ^ { 2 } \right) } { 25,000,000 }$ , $0 \leq x \leq 100$ . What percentage of people are likely to get a 60 or above on the exam? Enter just a real number to two decimal places (no units).

Question

Missed work hours caused by one of a class of industrial accidents has a probability density function $f ( t ) = \frac { 1 } { 8 } e ^ { - t } + \frac { 3 } { 8 } e ^ { - t / 2 } + \frac { 1 } { 24 } e ^ { - t / 3 }$ where t is measured in hours. 
-Dr. Smith's test score distribution is characterized by the probability density function $f ( x ) = \frac { x \left( 10,000 - x ^ { 2 } \right) } { 25,000,000 }$ , $0 \leq x \leq 100$ . What percentage of people are likely to get a 60 or above on the exam? Enter just a real number to two decimal places (no units).

Quizplus · Accepted Answer

The Answer of Missed work hours caused by one of a class of industrial accidents has a probability density function $f ( t ) = \frac { 1 } { 8 } e ^ { - t } + \frac { 3 } { 8 } e ^ { - t / 2 } + \frac { 1 } { 24 } e ^ { - t / 3 }$ where t is measured in hours. 
-Dr. Smith's test score distribution is characterized by the probability density function $f ( x ) = \frac { x \left( 10,000 - x ^ { 2 } \right) } { 25,000,000 }$ , $0 \leq x \leq 100$ . What percentage of people are likely to get a 60 or above on the exam? Enter just a real number to two decimal places (no units).

Missed Work Hours Caused by One of a Class of Industrial