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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

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Q1.
The _______ and ________ of a discrete random variable is easy to compute at the console.

a.

Mean, Variance

b.

Variance, Packages

c.

Packages, Functions

d.

Median, Mode

Discuss
Answer: (a).Mean, Variance
Q2.
Which of the following simple the square root of ฯƒ square?

a.

Variance

b.

Standard deviation

c.

Mean

d.

Median

Discuss
Answer: (b).Standard deviation
Q3.
The abbreviation of Cumulative Distributive Function is ________

a.

CDFN

b.

CMDF

c.

CMD

d.

CDF

Discuss
Answer: (d).CDF
Q4.
Which function is used to simulate discrete uniform random variables?

a.

Sample

b.

Simple

c.

Function

d.

Variance

Discuss
Answer: (a).Sample
Q5.
The binomial distribution is based on _______ trial.

a.

Einstein

b.

Bernoulli

c.

Bohr

d.

Kepler

Discuss
Answer: (b).Bernoulli
Q6.
The corresponding R function for the PMF is __________

a.

Trinom

b.

Dbinorm

c.

Dbinom

d.

Fnorm

Discuss
Answer: (c).Dbinom
Q7.
The corresponding R function for the CDF is __________

a.

Dbinom

b.

Pbinom

c.

Cbinorm

d.

Hbinorm

Discuss
Answer: (b).Pbinom
Q8.
Random variables defined via the _______ package.

a.

Distri

b.

Diestr

c.

Distr

d.

Diftr

Discuss
Answer: (c).Distr
Q9.
MGF means _____________

a.

Moment Generating Formulas

b.

Movement Generating Formulas

c.

Moment Generating Functions

d.

Moment Graphic Functions

Discuss
Answer: (c).Moment Generating Functions
Q10.
The empirical cumulative distribution function can be called as __________

a.

EMCDF

b.

EDFC

c.

ECDF

d.

EGDF

Discuss
Answer: (c).ECDF
Page 1 of 6

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