Computer 9th Chap 4 : Topic 1.3 - Maryam Publications

Computer Chapter 4 : Topic 1.3

Fields of Data Science

1 / 14

Which option best describes data science as a discipline that integrates multiple fields for extracting insights from data effectively?

A) A subject limited to drawing graphs manually

B) A field only focused on computer hardware repair

C) A branch of literature focused on writing reports

D) A broad field combining statistics, programming, mathematics, and business knowledge

2 / 14

How does data analytics differ most accurately from the broader field of data science in practical applications?

A) Data analytics is unrelated to data processing

B) Data analytics focuses mainly on analyzing existing data for patterns and insights

C) Data analytics includes machine building only

D) Data analytics replaces all mathematical concepts

3 / 14

Which statement correctly explains the role of computer science in supporting data science activities and systems?

A) It focuses only on business management

B) It provides programming tools, algorithms, and computational systems

C) It is only used for drawing charts

D) It only studies human behavior patterns

4 / 14

Why is mathematics considered essential in the field of data science and predictive modeling processes?

A) It provides logical structures and numerical methods for solving problems

B) It replaces the need for programming languages

C) It is unrelated to data analysis

D) It is used only for typing data

5 / 14

What is the primary function of statistics in analyzing datasets within data science workflows and processes?

A) Collecting, summarizing, and interpreting data patterns

B) Building computer hardware

C) Designing computer games

D) Writing software code only

6 / 14

How does business knowledge contribute to effective use of data science insights in organizational decision-making?

A) It provides context to apply data insights in real-world business decisions

B) It replaces all mathematical analysis

C) It focuses only on programming languages

D) It is unrelated to data science

7 / 14

Which option best describes the difference between data science and data analytics in terms of scope and coverage?

A) Data science is broader, while data analytics is a subset focusing on analysis

B) Data analytics includes only hardware design

C) Both are exactly identical fields

D) Data science excludes data processing

8 / 14

What is the most accurate description of computer science compared to mathematics in data science applications?

A) Both are only used for drawing pictures

B) Computer science deals with programming; mathematics deals with logical and numerical modeling

C) Mathematics is only used for business decisions

D) Computer science replaces mathematics completely

9 / 14

Which statement best explains the relationship between statistics and data analytics in data-driven tasks?

A) Statistics provides methods used in analyzing and interpreting data

B) Statistics replaces computer science

C) Statistics is unrelated to data analysis

D) Statistics is only used in hardware systems

10 / 14

Why is data science considered interdisciplinary rather than a single academic subject or field?

A) Because it only uses programming

B) Because it avoids mathematical concepts

C) Because it only focuses on databases

D) Because it combines multiple fields like CS, math, statistics, and business knowledge

11 / 14

Which role does mathematics play compared to statistics in data science processes?

A) Statistics replaces mathematics completely

B) Mathematics builds models; statistics only stores data

C) Mathematics provides structures; statistics focuses on data interpretation

D) Both are unrelated fields

12 / 14

How does computer science differ from business knowledge in the context of data science applications?

A) Business knowledge replaces programming skills

B) Computer science focuses on programming; business knowledge focuses on decision-making context

C) Both are only used for drawing charts

D) Computer science is unrelated to data science

13 / 14

What is the main difference between data analytics and statistics in data-driven environments?

A) Statistics only builds computers

B) Data analytics does not involve data at all

C) Data analytics applies statistical methods to extract insights from data

D) Both are completely unrelated fields

14 / 14

Which combination correctly represents the core foundation required for modern data science systems and applications?

A) Art, history, and geography only

B) Computer science, mathematics, statistics, and business knowledge

C) Biology, physics, and chemistry only

D) Cooking, music, and sports only

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