Computer 9th Chap 4 : Topic 1.2 - Maryam Publications

Computer Chapter 4 : Topic 1.2

Data Science Terms

1 / 14

Which statement best defines data science as a field that combines multiple disciplines to extract meaningful insights from data effectively?

A) Only computer programming

B) Only charts and graphs

C) Branch of biology

D) Interdisciplinary field using data, algorithms, and systems

2 / 14

What is the most accurate definition of data analytics in the context of processing and interpreting collected data?

A) Examining data for patterns and conclusions

B) Storing data in files only

C) Deleting unnecessary data

D) Building computer hardware

3 / 14

How is computer science best defined in relation to solving problems using computational systems and programming?

A) Study of weather and climate

B) Study of plants and animals

C) Study of financial markets only

D) Study of computers, algorithms, and programming

4 / 14

Which option best describes mathematics as used in data science and analytical problem-solving processes?

A) Numbers, patterns, logic, and calculations

B) Storytelling and literature

C) Operating computers only

D) Drawing and painting

5 / 14

What is the correct definition of statistics as a key concept used in analyzing and interpreting data sets?

A) Designing computer games

B) Storing images and videos

C) Collecting, analyzing, and interpreting data

D) Building computer networks

6 / 14

How is business knowledge and understanding best defined in the context of data-driven decision-making processes?

A) Programming languages only

B) Hardware repair and maintenance

C) Cooking and food preparation

D) Understanding organizational operations and decisions

7 / 14

Which statement best explains the relationship between data science and computer science in modern analytical systems?

A) Completely unrelated

B) Used only for typing documents

C) Replaces programming completely

D) Provides tools and algorithms for data science

8 / 14

Why is mathematics considered an essential foundation for data science applications and model building?

A) Replaces programming requirements

B) Provides logic and numerical methods

C) Used only for drawing pictures

D) Unrelated to data processing

9 / 14

What is the main role of statistics in analyzing datasets within data science projects?

A) Design websites and apps

B) Store data in notebooks

C) Delete incorrect data

D) Summarize, interpret, and conclude from data

10 / 14

Which definition best describes the term data in the context of computing and analysis processes?

A) Final reports

B) Meaningful information only

C) Raw facts and figures

D) Computer programs

11 / 14

What is the correct definition of information in relation to processed and meaningful data interpretation?

A) Computer hardware components

B) Raw numerical values

C) Random facts without meaning

D) Processed data with meaning and context

12 / 14

Which statement correctly distinguishes between data science and data analytics at a conceptual level?

A) Data science is broader; analytics focuses on analysis

B) Analytics includes hardware maintenance

C) Data science only stores files

D) Exactly the same thing

13 / 14

What is the best definition of interdisciplinary fields in the context of modern data science development?

A) Single-subject fields only

B) Combining multiple subjects to solve problems

C) Avoid mathematics and science

D) Only artistic creativity

14 / 14

How do business knowledge and data science work together in real-world decision-making scenarios?

A) Provides context for applying insights

B) Completely unrelated

C) Replaces data analysis completely

D) Ignores business requirements

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