Live Education Quiz

1. Data that has been collected but has not been processed or cleaned is called:

A Final Data

B Clean Data

C Useful Data

D Raw Data

2. Which skill is essential for a data scientist?

A Drawing skills

B Statistical analysis

C Hardware repair

D Typing speed

3. What is the final stage of the data science life cycle?

A Data collection

B Data cleaning

C Decision making or deployment

D Data visualization

4. What is the main purpose of Data Visualization?

A To make data more complicated.

B To hide the important facts in data.

C To use as many colors as possible.

D To help understand trends and patterns easily.

5. What is the purpose of decision making in data science?

A To collect more data

B To take actions based on insights

C To clean data

D To visualize data

6. Which visualization is best for showing frequency distribution?

A Histogram

B Pie chart

C Line chart

D Map

7. Which chart is best for showing trends over time?

A Pie chart

B Line chart

C Bar chart

D Table

8. Why is data visualization important?

A It increases storage size

B It makes data easier to understand

C It deletes duplicate data

D It hides information

9. What is often the first step in the Data Science Life Cycle?

A Data Acquisition (getting the data).

B Building a website for the data.

C Selling the final results.

D Presenting the conclusion.

10. In which stage of the data science life cycle are models built to find patterns?

A Data Analysis

B Data Collection

C Problem Definition

D Data Deletion

11. Which field combines statistics, programming, and domain knowledge?

A Networking

B Web development

C Data science

D Cyber security

12. Which of the following is not a stage of data science life cycle?

A Data collection

B Data cleaning

C Hardware installation

D Data analysis

13. What is the main goal of data analysis?

A To design hardware

B To find patterns and insights

C To type documents

D To send emails

14. What is the final stage of the data science life cycle where the results are shared with others?

A Data Acquisition

B Data Preparation

C Communication / Visualization

D Asking a question

15. Which step converts raw data into useful information?

A Data cleaning

B Data analysis

C Data storage

D Data collection

16. What is meant by data analysis?

A Collecting data

B Storing data

C Examining data to draw conclusions

D Deleting data

17. Which of the following is a source of data?

A Survey

B Printer

C Monitor

D Speaker

18. What does data collection involve?

A Presenting data in charts

B Gathering raw data from sources

C Deleting data

D Printing reports

19. Which data science step comes just before decision making?

A Data visualization

B Data collection

C Data cleaning

D Data storage

20. Which of the following is an example of data?

A Student marks list

B Final report

C Decision

D Conclusion

21. Which data type is based on categories like colors or names?

A Quantitative

B Numerical

C Qualitative

D Statistical

22. Which of the following is a data visualization tool?

A Spreadsheet charts

B Compiler

C Antivirus

D Text editor

23. Which of these is a common type of chart used for data visualization?

A A text document.

B An audio file.

C A computer program.

D A bar chart.

24. What does 'data' mean in the context of data science?

A Only pictures and videos.

B A collection of facts, such as numbers, words, or measurements.

C Only the software on a computer.

D The physical parts of a computer like the mouse and keyboard.

25. Which stage involves interpreting results?

A Data collection

B Data cleaning

C Data analysis

D Data storage

26. Which step helps stakeholders understand results easily?

A Data visualization

B Data collection

C Data cleaning

D Data storage

27. Which of the following is the first step in the Data Science Life Cycle?

A Building a model.

B Collecting data.

C Visualizing data.

D Cleaning data.

28. Which of the following best defines data?

A Processed information

B Unorganized facts and figures

C Final reports

D Computer programs

29. The process of cleaning and organizing raw data to make it suitable for analysis is called:

A Data Deletion.

B Data Preparation.

C Data Guessing.

D Data Hiding.

30. What is Data Science mainly about?

A Getting knowledge and insights from data.

B Creating computer hardware.

C Designing websites.

D Writing computer programs only.

31. What does a bar chart display?

A Trends over time

B Categories and values

C Geographic data

D Random data

32. Which visualization is best for comparing percentages?

A Pie chart

B Line chart

C Scatter plot

D Histogram

33. A chart that shows data as a circle divided into slices is called a...?

A Line graph.

B Bar chart.

C Pie chart.

D Flowchart.

34. Which chart is best for showing parts of a whole, like the percentage of students who like different fruits?

A Line chart

B Scatter plot

C Flowchart

D Pie chart

35. What is the first stage of the data science life cycle?

A Data visualization

B Data collection

C Model deployment

D Data cleaning

36. Which chart shows parts of a whole?

A Line chart

B Bar chart

C Pie chart

D Scatter plot

37. Which software is commonly used for basic data visualization?

A Spreadsheet software

B Operating system

C Antivirus software

D Compiler

38. What is the main benefit of data science?

A Increased typing speed

B Better decision making

C More storage usage

D Hardware improvement

39. What does qualitative data describe?

A Numbers only

B Measurements

C Qualities or characteristics

D Calculations

40. Which chart is commonly used to compare categories?

A Line chart

B Bar chart

C Scatter plot

D Histogram

41. What is Data Science?

A The art of drawing pictures on a computer.

B The process of building computer hardware.

C The study of data to find useful information and patterns.

D The process of creating animations and games.

42. What is the main role of a data scientist?

A To repair computer hardware.

B To design computer motherboards.

C To analyze data and find useful insights.

D To manage the school's computer lab.

Unit 4: Data and Analysis

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