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Please choose the statement that is false about random number generation: Uniformly distributed random numbers can be generated using a linear congruent generator The inverse transformation method can be used to sample data from both continuous and discrete probability distributions In random number generation using linear congruent generator, we don't need to worry about cycles. For a linear congruent generator that has a prime number m as the divisor for the modulus, the obtained random numbers have a maximum period of (m-1)
The human body weight is normally distributed, with a mean of 61 kg and variance of 25 kg? What is the 90th percentile of the body weight so that 90% of people will have their weights below it? Note that from the 2-distribution table, we know: P(Z<= -1.645) = 5% P(Z<= -1.96) = 2.5% P(Z<= -1.28) = 10% O a. None of the other answers is correct Ob 70.8kg O c. 67.4kg Od. 66.4kg Оe 69.2kg
If the probability of engine malfunction during any one hour period is p = 0.02 and Y denotes the number of one hour intervals until the first malfunction, find the mean and standard deviation of Y. O mean=300, standard deviation=2450 O mean=50, standard deviation=49.5 O mean=50, standard deviation=25 O mean=300, standard deviation=49.5