Mathematics, 25.11.2019 22:31 brazilmade1
Using lahiri's method, draw i = 10; 000 univariate samples of a random variable x following a) gaussian distribution, b) exponential distribution and c) poisson distribution. parameter vector for the distributions has to be kept as a vector input to your programs.
Answers: 3
Mathematics, 21.06.2019 19:00, filthyfish
Teams of 4 are competing in a 1/4 mile relay race. each runner must run the same exact distance. what is the distance each teammate runs?
Answers: 1
Mathematics, 21.06.2019 20:00, aheadrick5163
Apatient is to be given 35 milligrams of demerol every 4 hours. you have demerol 50 milligrams/milliliter in stock. how many milliliters should be given per dose?
Answers: 2
Mathematics, 21.06.2019 21:30, gonzalezashley152
In a test for esp (extrasensory perception), the experimenter looks at cards that are hidden from the subject. each card contains either a star, a circle, a wave, a cross or a square.(five shapes) as the experimenter looks at each of 20 cards in turn, the subject names the shape on the card. when the esp study described above discovers a subject whose performance appears to be better than guessing, the study continues at greater length. the experimenter looks at many cards bearing one of five shapes (star, square, circle, wave, and cross) in an order determined by random numbers. the subject cannot see the experimenter as he looks at each card in turn, in order to avoid any possible nonverbal clues. the answers of a subject who does not have esp should be independent observations, each with probability 1/5 of success. we record 1000 attempts. which of the following assumptions must be met in order to solve this problem? it's reasonable to assume normality 0.8(1000), 0.2(1000)%30 approximately normal 0.8(1000), 0.2(1000)% 10 approximately normal srs it is reasonable to assume the total number of cards is over 10,000 it is reasonable to assume the total number of cards is over 1000
Answers: 1
Using lahiri's method, draw i = 10; 000 univariate samples of a random variable x following a) gaus...
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