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R Programming
R Programming Written Test
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Q.1
Two important methods in analysis is differentiation and __________ transformation.
a) Bernoulli
b) Fourier
c) Bohr
d) Rutherford
Q.2
Every ________ function has a probability distribution function.
a) Continuous
b) Discrete
c) Categorical
d) Random
Q.3
Which package resorts to numerical methods when it encounters a model it does not recognize.
a) destrEx
b) ditrEx
c) distrEx
d) Exdistr
Q.4
When µ = ___ and σ = ___ we say that the random variable has a standard normal distribution.
a) 0,1
b) 0,0
c) 1,0
d) 1,1
Q.5
Which of the following is the symbol of standard normal PDF?
a) φ
b) #
c) &
d) *
Q.6
The __________ package has functionality to investigate transformations of univariate distributions.
a) Distri
b) Dirtr
c) Distr
d) Hyperbolic
Q.7
Which distribution looks like a norm distribution but with very heavy tails?
a) Simple
b) Discrete
c) Continuous
d) Cauchy
Q.8
The ________ is represented by the location parameter.
a) Median
b) Mode
c) Mean
d) Variance
Q.9
The ______ parameter influences the spread of the distribution about its median.
a) Scale
b) Mode
c) Mean
d) Variance
Q.10
Which distribution comes up a lot in Bayesian statistics because it is a good model for one’s prior beliefs about a population proportion?
a) Bohr
b) Discrete
c) Alpha
d) Beta
Q.11
The associated R function is dlogis (x, location =scale =is for _________ distribution.
a) Logistic
b) Linear
c) Discrete
d) Beta
Q.12
The _________ distribution comes up in differential equations as a model for population growth under certain assumptions.
a) Logistic
b) Linear
c) Discrete
d) Beta
Q.13
Which of the following is a distribution derived from the normal distribution?
a) Logistic
b) Lognormal
c) Normal
d) Simple
Q.14
The associated R function is dlnorm(x, meanlog =sdlog =is for ________ distribution.
a) Logistic
b) Lognormal
c) Normal
d) Simple
Q.15
The associated R function is dweibull(x, shape, scale =is for _________ distribution.
a) Logistic
b) Lognormal
c) Weibull
d) Simple
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