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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.
5. Perform a factorial MANOVA on the data. Before interpreting the multivariate results of the MANOVA, check outcomes that test other assumptions for this statistic: equality of co
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Write a report to an investor comparing the performance by using the financial statements between two different companies
method of measuring trend
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A study done at the University of Maryland (cited in Weiss, Introductory Statistics, 7th ed, 2005) measured the body temperatures of 93 healthy humans. On the frequency- histogram
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Q. Example of Selection a Sample? Ans. Suppose a presidential election is approaching and many people are interested in knowing which candidate is most likely to win the v
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