Data Science Test | Class 9 Computer Science

Data Science Test

Class 9th – Computer Science (SNC) – Chapter 9
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Paper Date:
Time: 60 minutes
Total Marks: 50
Paper Type: Objective + Subjective
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Multiple Choice Questions 10×1=10

1 Which data type answers “How many?”
A Qualitative
B Ordinal
C Quantitative
D Nominal
2 Data is defined as:
A Processed information
B A summary of events
C A list of numbers only
D None of these
3 Which tool is used for simple data organization?
A Google Sheets
B Microsoft Word
C Adobe Photoshop
D PowerPoint
4 Which is NOT a step in data analysis?
A Data collection
B Data visualization
C Data deletion
D Data interpretation
5 What does a pie chart represent?
A Trends
B Relationships
C Outliers
D Proportions
6 Which activity is part of organizing data?
A Sorting data into tables
B Creating random files
C Deleting outliers
D Encrypt data
7 Data clarity is improved by:
A Creating charts and graphs
B Storing data in multiple formats
C Using long paragraphs
D Ignoring errors
8 Which tool is best suited for handling unstructured data?
A MongoDB (NoSQL)
B Microsoft Excel
C Google Sheets
D SQL Server
9 Which visualization tool is designed for interactive charts?
A Microsoft Excel
B Google Sheets
C PowerPoint
D Tableau
10 How do you handle missing data in a dataset?
A Delete the entire dataset
B Use the class average
C Replace with random numbers
D None of these

Short Answer Questions 10×2=20

1 Describe what a line graph is used for and provide an example.
2 Why are social media posts categorized as unstructured data?
3 How does a line graph help in analyzing continuous data?
4 How does a pie chart represent survey response data?
5 What is the purpose of a scatter plot in continuous data analysis?
6 How do you handle biased data?
7 How is missing data addressed in a student scores dataset?
8 How does version control work in Google Docs?
9 How does cloud storage support global teamwork?
10 How does data science help in education?

Detailed Answer Questions (Answer any 2) 2×10=20

1 Explain the role of tables and charts in data analysis. Provide an example of how you could use a table or chart to present data about students’ grades in different subjects.

Hint: Consider how tables organize raw data and charts visualize patterns.

2 Describe the challenges of working with unstructured data. Use the email example.
3 Explain how Google Docs’ version control works, using the “Climate Change Presentation” group project example.