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1. The life-time of a certain type of electric bulbs has an exponential distribution with an average life time of 100 hours. (a) What is the probability that a bulb of this type will work at least 150 hours? (b) What is the probability that a bulb of this type having been used successfully for 150 hours will work at least 100 more hours in addition to the 150 hours? 2. Assume that a measurement result X has a normal distribution with expected value 120 and standard deviation 20. (a) What is the probability that X is larger than 125? (b) If we know that the measurement result X is larger than 125, then what is the probability that X is larger than 135? 3. The density function of X is f(x) = 5 x^4 (0 < x < 1). Let Y = X^2. (a) Calculate the expected value of X. (b) Calculate the expected value of Y. 4. The density function of X is f(x) = 5x^4 (0 < x < 1). Let Y = X^2. (a) Calculate the standard deviation of X. (b) Calculate the standard deviation of Y. 5. a) Assume that X follows uniform distribution on the interval [10; 20]. What is the probability that X is between 14 and 15? b) Make 50 independent experiments for X. What is the probability that average of the 50 experimental results is between 14 and 15? (You may give your answer in terms of the mathematical function Φ or of the NORMDIST Excel function.)