gs gs110 Profiling, Simulation and Data Analysis - Simulation - Quiz No.1
gs gs110 R Language Quiz
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Question 1: ________ generate random Normal variates with a given mean and standard deviation.
dnorm
rnorm
pnorm
rpois
Question 2: Point out the correct statement?
R comes with a set of pseudo-random number generators
Random number generators cannot be used to model random inputs
Statistical procedure does not require random number generation
For each probability distribution there are typically three functions
Question 3: ______ evaluate the cumulative distribution function for a Normal distribution.
dnorm
rnorm
pnorm
rpois
Question 4: _______ generate random Poisson variates with a given rate.
dnorm
rnorm
pnorm
rpois
Question 5: Point out the wrong statement?
For each probability distribution there are typically three functions
For each probability distribution there are typically four functions
r function is sufficient for simulating random numbers
R comes with a set of pseudo-random number generators
Question 7: _________ is the most common probability distribution to work with.
Gaussian
Parametric
Paradox
Simulation
Question 8: What will be the output of the following R code?
> x <- rnorm(10) > x [1] 0.01874617 -0.18425254 -1.37133055 -0.59916772 0.29454513 [6] 0.38979430 -1.20807618 -0.36367602 -1.62667268 -0.25647839 [1] 22.20356 21.51156 19.52353 21.97489 21.48278 20.17869 18.09011 [8] 19.60970 21.85104 20.96596 Min. 1st Qu. Median Mean 3rd Qu. Max. 18.09 19.75 21.22 20.74 21.77 22.20
Error
Question 9: What will be the output of the following R code?
> x <- rnorm(10) > summary(x) [1] 0.01874617 -0.18425254 -1.37133055 -0.59916772 0.29454513 [6] 0.38979430 -1.20807618 -0.36367602 -1.62667268 -0.25647839 [1] 22.20356 21.51156 19.52353 21.97489 21.48278 20.17869 18.09011 [8] 19.60970 21.85104 20.96596 Min. 1st Qu. Median Mean 3rd Qu. Max. 18.09 19.75 21.22 20.74 21.77 22.20
Error
Question 10: What will be the output of the following R code?
> pnorm(2)
0.9772499
1.9772499
0.6772499
2.6772499
