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bcoates280/MA5761-Statistical-Computing-Final-Project

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MA5761-Statistical-Computing-Final-Project

A Shiny App was created in R to solve examine the following:

Use Monte Carlo simulation to investigate whether the empirical Type I error rate of the t-test is approximately equal to the nominal significance level α, when the sampled population is non-normal. The t-test is robust to mild departures from normality. Discuss the simulation results for the cases where the sampled population is (i) χ2 (1) , (ii) Uniform (0,2), and (iii) Exponential (rate=1). In each case, test H0:μ=μ0 vs. Ha:μ≠μ0 , where μ0 is the mean of χ2 (1) , Uniform(0,2), and Exponential(1), respectively.

The app can be found at the following address: https://bcoates.shinyapps.io/Dist_Effect_on_MC_Type_I_err/

最近版本更新:(数据更新于 2024-11-22 15:41:55)

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