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Generate 1000 samples for each of the following continuous random variables:
(a). Exponential distribution with λ = 1.2 and λ = 2.1
(b). Normal distribution with μ = 3.1, σ2 =5 and μ = 1, σ2 = 2
For each class of the above distribution, plot the cumulative distribution function for each set parameters on one figure (you should have two curves on each figure and have overall two figures). In addition, you should also plot the corresponding analytical results (CDF curve based on distribution formulas) on the same figure. In this way, you can verify whether your simulated random variables match with analytical results.
In addition, calculate the mean value and variance of generated samples for each distribution (sample mean and sample variance). Compare the results with the analytical results.
what is historigrams
Let a and b be constants and le yi=axi+b for i=1,2,...n. W HAT IS THE RELATION SHIP BETWEEN mean and variancees of X and Y ?
Least square method
Allowance for uncollectible A contra-asset assessment consideration used to indicate the part of a / r that is approximated to be uncollectible.
i have a scaled data on multiple questions from two different tests taken at different times for the same respondents, and now i want to calculate the reliability test manually but
SOLVE THE FOLLOWING PROBLEM IN SPSS. A college is conducting a study of its students' expectations of employment upon graduation. Students are sampled by class and major area of s
X purchased a machinery on instalment system for rs.27300 to be paid as follows. on delivery rs.8000, at the end of first year rs.7600, at the end of second years.6000, at the end
what is the advantages of face-to-face interview?
y=4x-x^2
what i6 the relevance of cost classification?
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