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 charts and graphs

B) Interdisciplinary field using data, algorithms, and systems

C) Only computer programming

D) Branch of biology

2 / 14

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

A) Deleting unnecessary data

B) Storing data in files only

C) Examining data for patterns and conclusions

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 computers, algorithms, and programming

B) Study of plants and animals

C) Study of financial markets only

D) Study of weather and climate

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) Building computer networks

B) Collecting, analyzing, and interpreting data

C) Designing computer games

D) Storing images and videos

6 / 14

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

A) Hardware repair and maintenance

B) Programming languages only

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) Used only for typing documents

B) Completely unrelated

C) Provides tools and algorithms for data science

D) Replaces programming completely

8 / 14

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

A) Provides logic and numerical methods

B) Replaces programming requirements

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) Summarize, interpret, and conclude from data

C) Delete incorrect data

D) Store data in notebooks

10 / 14

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

A) Meaningful information only

B) Final reports

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) Raw numerical values

B) Random facts without meaning

C) Processed data with meaning and context

D) Computer hardware components

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) Data science only stores files

C) Analytics includes hardware maintenance

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) Only artistic creativity

C) Avoid mathematics and science

D) Combining multiple subjects to solve problems

14 / 14

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

A) Completely unrelated

B) Provides context for applying insights

C) Replaces data analysis completely

D) Ignores business requirements

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