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Unit 4: Data and Analysis

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1. What is the ultimate goal of analyzing data in data science?

A To create colourful charts.
B To make better decisions.
C To collect as much data as possible.
D To write long reports.

2. What does qualitative data describe?

A Numbers only
B Measurements
C Qualities or characteristics
D Calculations

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 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.

5. What is raw data?

A Processed information
B Final results
C Unprocessed facts
D Graphs and charts

6. A map showing the population in different cities of a country is an example of:

A Data Visualization.
B A text document.
C A computer program.
D A spreadsheet formula.

7. The process of removing errors and inconsistencies from data is called?

A Data Cleaning.
B Data Collection.
C Data Modeling.
D Data Visualization.

8. Which step converts raw data into useful information?

A Data cleaning
B Data analysis
C Data storage
D Data collection

9. What is data science mainly concerned with?

A Writing computer games
B Extracting knowledge from data
C Repairing hardware
D Designing websites

10. Which life cycle stage checks data accuracy?

A Data collection
B Data cleaning
C Data visualization
D Decision making

11. What does a bar chart display?

A Trends over time
B Categories and values
C Geographic data
D Random data

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

A Spreadsheet software
B Operating system
C Antivirus software
D Compiler

13. Which step helps stakeholders understand results easily?

A Data visualization
B Data collection
C Data cleaning
D Data storage

14. 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

15. Which stage of the Data Science Life Cycle involves presenting the findings to others?

A Data Acquisition.
B Data Preparation.
C Model Building.
D Communication.

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

A Student marks list
B Final report
C Decision
D Conclusion

17. What kind of chart uses dots to show data points?

A Bar chart
B Line chart
C Scatter plot
D Pie chart

18. 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.

19. Which chart is most suitable for continuous data?

A Line chart
B Pie chart
C Bar chart
D Table

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

A Networking
B Web development
C Data science
D Cyber security

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

A Survey
B Printer
C Monitor
D Speaker

22. Which stage uses charts and graphs?

A Data cleaning
B Data visualization
C Data collection
D Data storage

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

A Data visualization
B Data collection
C Model deployment
D Data cleaning

24. What is meant by data analysis?

A Collecting data
B Storing data
C Examining data to draw conclusions
D Deleting data

25. 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.

26. Which visualization helps identify relationships between variables?

A Pie chart
B Bar chart
C Scatter plot
D Table

27. Why is data cleaning necessary?

A To add errors
B To improve data quality
C To increase file size
D To slow processing

28. 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

29. Which skill is essential for a data scientist?

A Drawing skills
B Statistical analysis
C Hardware repair
D Typing speed

30. 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.

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

A Pie chart
B Line chart
C Bar chart
D Table

32. What is the main benefit of data science?

A Increased typing speed
B Better decision making
C More storage usage
D Hardware improvement

33. Which visualization is best for comparing percentages?

A Pie chart
B Line chart
C Scatter plot
D Histogram

34. What does a pie chart mainly show?

A Exact values
B Parts of a whole
C Trends
D Relationships

35. 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.

36. 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

37. Which of the following is a common way to visually represent data?

A Writing a long paragraph.
B Creating a bar chart.
C Recording an audio file.
D Sending a text message.

38. 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.

39. 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

40. Which stage involves removing errors and inconsistencies from data?

A Data collection
B Data cleaning
C Data visualization
D Data storage

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