Welcome to the Data Science Basics MCQs Page

Dive deep into the fascinating world of Data Science Basics with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Science Basics, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Science Basics, 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 Science Basics. 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 Science Basics. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Science Basics MCQs | Page 6 of 8

Explore more Topics under Data Science

01

Data Analysis with Python

02

Data Manipulation

03

Data Analysis and Research

04

Statistical Inference and Regression Models

05

Machine Learning

06

Developing Data Products

Q51.

Which of the following model is usually a gold standard for data analysis?

Inferential

Descriptive

Causal

All of the mentioned

Discuss

Answer: (c).Causal

Q52.

Causal analysis is commonly applied to census data.

True

False

May be True or False

Can't say

Discuss

Answer: (b).False

Q53.

Point out the correct statement.

Descriptive analysis can be more useful for defining future studies

Correlation does imply causation

Inference is commonly the goal of statistical model

None of the mentioned

Discuss

Answer: (b).Correlation does imply causation

Q54.

Which of the following uses relatively small amount of data to estimate about bigger population?

Inferential

Exploratory

Causal

None of the mentioned

Discuss

Answer: (a).Inferential

Q55.

Which of the following analysis helps out to find the effect of variable change?

Inferential

Exploratory

Causal

None of the mentioned

Discuss

Answer: (c).Causal

Q56.

Point out the correct statement.

Exploratory analyses are not usually the final way

Inferential models are useful for discovering new connection

Inference involves estimating uncertainty

All of the mentioned

Discuss

Answer: (c).Inference involves estimating uncertainty

Q57.

Which of the following relationship are usually identified as average effects?

Descriptive

Causal

Predictive

None of the mentioned

Discuss

Answer: (b).Causal

Q58.

Which of the following analysis is usually modeled by deterministic set of equations?

Predictive

Causal

Mechanistic

All of the mentioned

Discuss

Answer: (c).Mechanistic

Q59.

Which of the following analysis are incredibly hard to infer?

Inferential

Exploratory

Causal

Mechanistic

Discuss

Answer: (d).Mechanistic

Q60.

Accurate prediction depends heavily on measuring the right variables.

True

False

May be True or False

Can't say

Discuss

Answer: (a).True

Page 6 of 8

Welcome to the Data Science Basics MCQs Page

Data Science Basics MCQs | Page 6 of 8

Explore more Topics under Data Science

Data Analysis with Python

Data Manipulation

Data Analysis and Research

Statistical Inference and Regression Models

Machine Learning

Developing Data Products

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