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Welcome to the Distributions and Graphics in R programming MCQs Page

Dive deep into the fascinating world of Distributions and Graphics in R programming with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Distributions and Graphics in R programming, a crucial aspect of R Programming. In this section, you will encounter a diverse range of MCQs that cover various aspects of Distributions and Graphics in R programming, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within R Programming.

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Check out the MCQs below to embark on an enriching journey through Distributions and Graphics in R programming. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of R Programming.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Distributions and Graphics in R programming. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Distributions and Graphics in R programming MCQs | Page 1 of 6

Q1.
The _______ and ________ of a discrete random variable is easy to compute at the console.
Discuss
Answer: (a).Mean, Variance
Q2.
Which of the following simple the square root of σ square?
Discuss
Answer: (b).Standard deviation
Q3.
The abbreviation of Cumulative Distributive Function is ________
Discuss
Answer: (d).CDF
Q4.
Which function is used to simulate discrete uniform random variables?
Discuss
Answer: (a).Sample
Q5.
The binomial distribution is based on _______ trial.
Discuss
Answer: (b).Bernoulli
Q6.
The corresponding R function for the PMF is __________
Discuss
Answer: (c).Dbinom
Q7.
The corresponding R function for the CDF is __________
Discuss
Answer: (b).Pbinom
Q8.
Random variables defined via the _______ package.
Discuss
Answer: (c).Distr
Discuss
Answer: (c).Moment Generating Functions
Q10.
The empirical cumulative distribution function can be called as __________
Discuss
Answer: (c).ECDF
Page 1 of 6

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