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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 6 of 6

Explore more Topics under R Programming

Q51.
The building blocks of artificial neural networks are artificial _______

a.

Blocks

b.

Neurons

c.

Functions

d.

Packages

Discuss
Answer: (b).Neurons
Q52.
The membrane potential of the neuron has a negative resting or equilibrium value is called ____________

a.

Hyperpolarization

b.

polarization

c.

Hypolarization

d.

Hypopolarization

Discuss
Answer: (a).Hyperpolarization
Q53.
_________ are commonly introduced as representations of quantities that have magnitude and direction.

a.

Lists

b.

Data sets

c.

Data frames

d.

Vectors

Discuss
Answer: (d).Vectors
Q54.
_______ is discovering unseen patterns from data.

a.

Data Milling

b.

Data Mining

c.

Niching

d.

Machine learning

Discuss
Answer: (b).Data Mining
Q55.
The method that the optimized weight values are attained is called as ________

a.

Leaning

b.

Lost

c.

Catching

d.

Learning

Discuss
Answer: (a).Leaning
Page 6 of 6

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