9th class Computer Science and Entrepreneurship, Chapter 6: Data Science and Data Gathering MCQs

1. What is data?

1. (A) Processed information
2. (B) Raw facts gathered about things ✓
3. (C) A collection of numbers only
4. (D) A list of observed events

2. Which of the following is an example of qualitative data?

1. (A) Temperature readings in degrees Celsius
2. (B) Number of students in a class
3. (C) Favourite ice cream flavours ✓
4. (D) Test scores out of 100

3. How can you organize data to make it easier to analyze?

1. (A) By writing it in long paragraphs
2. (B) By creating tables, charts and graphs ✓
3. (C) By storing it in random files
4. (D) By keeping it in a messy notebook

4. What is the main purpose of data collection?

1. (A) To create random numbers
2. (B) To gather information to answer questions or make decisions ✓
3. (C) To delete old data
4. (D) To format text documents

5. What is the primary purpose of data visualization?

1. (A) To generate random numbers
2. (B) To convert text into data
3. (C) To make data easier to understand by turning it into pictures ✓
4. (D) To hide complex data

6. Which tool is specifically designed for creating detailed and interactive visualizations?

1. (A) Microsoft Excel
2. (B) Google Sheets
3. (C) Tableau ✓
4. (D) PowerPoint

7. What is the first step in the data science process?

1. (A) Data Cleaning
2. (B) Data Analysis
3. (C) Data Collection
4. (D) Understanding the problem ✓

8. Raw facts and figures are called:

1. (A) Information
2. (B) Knowledge
3. (C) Instruction
4. (D) Data ✓

9. Data is processed and converted into useful:

1. (A) Observations
2. (B) Numbers
3. (C) Measurements
4. (D) Information ✓

10. Data can be collected from:

1. (A) Only computers
2. (B) Only the internet
3. (C) Various sources ✓
4. (D) Only databases

11. Which of the following is NOT a form of data?

1. (A) Numbers
2. (B) Images
3. (C) Sounds
4. (D) Decisions ✓

12. Measurements, words and observations are examples of:

1. (A) Information
2. (B) Knowledge
3. (C) Instruction
4. (D) Data ✓

13. Data can be broadly divided into which two main types?

1. (A) Primary and secondary
2. (B) Simple and complex
3. (C) Qualitative and quantitative ✓
4. (D) Input and output

14. Which type of data describes the characteristics, qualities or attributes of something?

1. (A) Quantitative Data
2. (B) Qualitative Data ✓
3. (C) Discrete Data
4. (D) Continuous Data

15. Which of the following is NOT a characteristic of qualitative data?

1. (A) Non-numeric
2. (B) Descriptive
3. (C) Categorical
4. (D) Measurable ✓

16. Qualitative data is usually represented using:

1. (A) Numbers only
2. (B) Mathematical symbols
3. (C) Words or labels ✓
4. (D) Graphs only

17. Which of the following is an example of qualitative data?

1. (A) Height of students
2. (B) Age of students
3. (C) Names of students ✓
4. (D) Marks obtained

18. Categorical data is a form of:

1. (A) Quantitative data
2. (B) Numerical data
3. (C) Qualitative data ✓
4. (D) Continuous data

19. Which of the following is a categorical type of data?

1. (A) Weight in kg
2. (B) Types of fruits ✓
3. (C) Distance in km
4. (D) Temperature in °C

20. Which of the following consists of numbers used to measure the quantity or amount of something?

1. (A) Qualitative data
2. (B) Quantitative data ✓
3. (C) Categorical data
4. (D) Descriptive data