Q. The corresponding R function for the PMF is __________

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Q. The corresponding R function for the CDF is __________

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Q. Random variables defined via the _______ package.

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Q. MGF means _____________

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Q. The empirical cumulative distribution function can be called as __________

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Q. Two important methods in analysis is differentiation and __________ transformation.

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Q. Every ________ function has a probability distribution function.

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Q. Which package resorts to numerical methods when it encounters a model it does not recognize.

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Q. When µ = ___ and σ = ___ we say that the random variable has a standard normal distribution.

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Q. Which of the following is the symbol of standard normal PDF?

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Q. The __________ package has functionality to investigate transformations of univariate distributions.

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Q. Which distribution looks like a norm distribution but with very heavy tails?

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Q. The ________ is represented by the location parameter.

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Q. The ______ parameter influences the spread of the distribution about its median.

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Q. Which distribution comes up a lot in Bayesian statistics because it is a good model for one’s prior beliefs about a population proportion?

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Q. The associated R function is dlogis (x, location = 0, scale = 1) is for _________ distribution.

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Q. The _________ distribution comes up in differential equations as a model for population growth under certain assumptions.

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Q. Which of the following is a distribution derived from the normal distribution?

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Q. The associated R function is dlnorm(x, meanlog = 0, sdlog = 1) is for ________ distribution.

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Q. The associated R function is dweibull(x, shape, scale = 1) is for _________ distribution.

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