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 branch of literature focused on writing reports

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

C) A subject limited to drawing graphs manually

D) A field only focused on computer hardware repair

2 / 14

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

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

B) Data analytics includes machine building only

C) Data analytics replaces all mathematical concepts

D) Data analytics is unrelated to data processing

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) Designing computer games

B) Writing software code only

C) Collecting, summarizing, and interpreting data patterns

D) Building computer hardware

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 is unrelated to data science

D) It focuses only on programming languages

7 / 14

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

A) Data analytics includes only hardware design

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

C) Data science excludes data processing

D) Both are exactly identical fields

8 / 14

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

A) Mathematics is only used for business decisions

B) Both are only used for drawing pictures

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

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 is unrelated to data analysis

B) Statistics replaces computer science

C) Statistics is only used in hardware systems

D) Statistics provides methods used in analyzing and interpreting data

10 / 14

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

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

B) Because it only focuses on databases

C) Because it avoids mathematical concepts

D) Because it only uses programming

11 / 14

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

A) Statistics replaces mathematics completely

B) Both are unrelated fields

C) Mathematics builds models; statistics only stores data

D) Mathematics provides structures; statistics focuses on data interpretation

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 is unrelated to data science

C) Both are only used for drawing charts

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

13 / 14

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

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

B) Statistics only builds computers

C) Data analytics does not involve data at all

D) Both are completely unrelated fields

14 / 14

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

A) Biology, physics, and chemistry only

B) Cooking, music, and sports only

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

D) Art, history, and geography only

Your score is

0%