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Statistical Analysis with R (Distributions, Graphics) MCQ question and answer with solution | R Programming MCQs

Learn Statistical Analysis with R (Distributions, Graphics) MCQ Questions and answers with easy and logical explanations in R Programming. Statistical Analysis with R (Distributions, Graphics) MCQ question provides all type of technical mcq questions which is important for technical exams, campus exams and other entrance examination. Page-6 section-1

51
The abbreviation of Cumulative Distributive Function is . . . . . . . .
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Answer & Solution
Answer: Option D
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52
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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Answer: Option D
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53
The membrane potential of the neuron has a negative resting or equilibrium value is called . . . . . . . .
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Answer: Option A
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54
The corresponding R function for the CDF is . . . . . . . .
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Answer: Option B
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55
Two important methods in analysis is differentiation and . . . . . . . . transformation.
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Answer: Option B
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56
Every . . . . . . . . function has a probability distribution function.
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Answer: Option A
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57
The . . . . . . . . distribution comes up in differential equations as a model for population growth under certain assumptions.
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Answer: Option A
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58
. . . . . . . . are commonly introduced as representations of quantities that have magnitude and direction.
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Answer: Option D
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59
. . . . . . . . will be called inside par() to set margins.
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Answer: Option A
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60
. . . . . . . . is discovering unseen patterns from data.
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Answer: Option B
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