Welcome to the Data Analysis and Research MCQs Page

Dive deep into the fascinating world of Data Analysis and Research with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Analysis and Research, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Analysis and Research, 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 Data Science.

Check out the MCQs below to embark on an enriching journey through Data Analysis and Research. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Science.

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

Data Analysis and Research MCQs | Page 4 of 9

Explore more Topics under Data Science

01

Data Science Basics

02

Data Analysis with Python

03

Data Manipulation

04

Statistical Inference and Regression Models

05

Machine Learning

06

Developing Data Products

Q31.

Which of the following argument specifies margin size with regards to par function?

las

mar

all of the mentioned

Discuss

Answer: (c).mar

Q32.

How many stages commonly occurs in creation of plot?

All of the mentioned

Discuss

Answer: (a).2

Q33.

Base graphics are used most commonly for creating 2D graphics.

True

False

May be True or False

Can't say

Discuss

Answer: (a).True

Q34.

Point out the correct statement.

The choice of an appropriate metric will influence the shape of the clusters

Hierarchical clustering is also called HCA

In general, the merges and splits are determined in a greedy manner

All of the mentioned

Discuss

Answer: (d).All of the mentioned

Q35.

Which of the following is finally produced by Hierarchical Clustering?

final estimate of cluster centroids

tree showing how close things are to each other

assignment of each point to clusters

all of the mentioned

Discuss

Answer: (b).tree showing how close things are to each other

Q36.

Which of the following is required by K-means clustering?

defined distance metric

number of clusters

initial guess as to cluster centroids

all of the mentioned

Discuss

Answer: (d).all of the mentioned

Q37.

Point out the wrong statement.

k-means clustering is a method of vector quantization

k-means clustering aims to partition n observations into k clusters

k-nearest neighbor is same as k-means

none of the mentioned

Discuss

Answer: (c).k-nearest neighbor is same as k-means

Q38.

Which of the following combination is incorrect?

Continuous – euclidean distance

Continuous – correlation similarity

Binary – manhattan distance

None of the mentioned

Discuss

Answer: (d).None of the mentioned

Q39.

Hierarchical clustering should be primarily used for exploration.

True

False

May be True or False

Can't say

Discuss

Answer: (a).True

Q40.

Which of the following function is used for k-means clustering?

k-means

k-mean

heatmap

none of the mentioned

Discuss

Answer: (a).k-means

Page 4 of 9

Welcome to the Data Analysis and Research MCQs Page

Data Analysis and Research MCQs | Page 4 of 9

Explore more Topics under Data Science

Data Science Basics

Data Analysis with Python

Data Manipulation

Statistical Inference and Regression Models

Machine Learning

Developing Data Products

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