Computers and Technology, 23.10.2019 17:00 carlo123
Must be done in python: poisson as an approximation to the binomial distribution. (1) generate 1000 random numbers from the binomial(n=200, p=0.01) distribution and generate 1000 random numbers from the poisson(μ=2) distribution. do not print the two data sets. show your python code only. (2) compare the mean, median, standard deviation, histogram and boxplot of the two data sets generated in part (1). what do you conclude? (3) repeat part (1) 10, 000 times and (a)calculate the difference of the sample means for each paired data sets, and draw a histogram of these 10,000 differences. what you can see from this histogram? (b)calculate the difference of the sample standard deviations for each paired data sets, and draw a histogram of these 10,000 differences. what you can see from this histogram?
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Computers and Technology, 23.06.2019 10:20, chonawilson4
Suppose there is a relation r(a, b, c) with a b+-tree index with search keys (a, b).1. what is the worst-case cost of finding records satisfying 10 < a < 50 using this index, in terms of the number of records n1, retrieved and the height h of the tree? 2. what is the worst-case cost of finding records satisfying 10 < a < 50 and 5 < b < 10 using this index, in terms of the number of records n2 that satisfy this selection, as well as n1 and h defined above? 3. under what conditions on n1 and n2, would the index be an efficient way of finding records satisfying the condition from part (2)?
Answers: 1
Must be done in python: poisson as an approximation to the binomial distribution. (1) generate 1000...
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