Generate samples for each distribution, Basic Statistics

Assignment Help:

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.


Related Discussions:- Generate samples for each distribution

Cash equivalent., Cash equivalent Short-term: highly liquid investments th...

Cash equivalent Short-term: highly liquid investments that are together [1) readily convertible to known amounts of cash & [2) so close to their maturity that they there insignifi

Compute the z scores, 1. Compute the z scores for the following raw scores ...

1. Compute the z scores for the following raw scores where   = 78 and the standard deviation = 4. a. 72 b. 82 c. 78 d. 87 e. 71

Accounting Assumption, What are the consequences of non-compliance to each ...

What are the consequences of non-compliance to each accounting concepts?

Descriptive measures, what are the properties of mean,mode and median?

what are the properties of mean,mode and median?

Frequency distribution, What happens to the arithmetic mean when you add th...

What happens to the arithmetic mean when you add the same number to all the scores of the distribution?

Simulation for structural equation modeling, I want to simulate observed va...

I want to simulate observed variables for structural equation modeling. In real data it is assumed that observed variables are not error free variables, so should i also simulate e

Confidence interval for a proportion, The quick method for a confidence int...

The quick method for a confidence interval for a proportion uses p ±1/√n as an approximation for a 95% confidence interval.  The margin of error in this case is slightly larger tha

Index numbers, what isweight and why is it necerary to calculate its index ...

what isweight and why is it necerary to calculate its index numbet

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd