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1 : Which of the following is an example of qualitative data?
1
:
Temperature readings in degrees Celsius
2
:
Number of students in a class
3
:
Favourite ice cream flavours
4
:
Test scores out of 100
2 : What type of data involves distinct, separate values that are countable?
1
:
Nominal Data
2
:
Ordinal Data
3
:
Discrete Data
4
:
Continuous Data
3 : What is an example of continuous data?
1
:
Number of cars in a parking lot
2
:
Height of students in centimetres
3
:
Types of fruits
4
:
Shirt sizes (small, medium, large)
4 : What is the main purpose of data collection?
1
:
To create random numbers
2
:
To gather information to answer questions or make decisions
3
:
To delete old data
4
:
To format text documents
5 : What is data?
1
:
Processed information
2
:
Raw facts gathered about things
3
:
A collection of numbers only
4
:
A list of observed events
6 : Which tool is specifically designed for creating detailed and interactive visualizations?
1
:
Microsoft Excel
2
:
Google Sheets
3
:
Tableau
4
:
PowerPoint
7 : How can you organise data to make it easier to analyse?
1
:
By writing it in long paragraphs
2
:
By creating tables, charts, and graphs
3
:
By storing it in random files
4
:
By keeping it in a messy notebook
8 : What type of data is used to categorize items without implying any order?
1
:
Ordinal Data
2
:
Discrete Data
3
:
Nominal Data
4
:
Continuous Data
9 : What is the first step in the data science process?
1
:
Data Cleaning
2
:
Data Analysis
3
:
Data Collection
4
:
Understanding the problem
10 : Which tool can be used to create surveys online?
1
:
Microsoft Word
2
:
Google Forms
3
:
Excel Spreadsheets
4
:
Adobe Photoshop
11 : What is the primary purpose of data visualization?
1
:
To generate random numbers
2
:
To convert text into data
3
:
To make data easier to understand by turning it into pictures
4
:
To hide complex data
12 : What does the 'Volume' characteristic of Big Data refer to?
1
:
The speed at which data is generated
2
:
The different forms data can take
3
:
The sheer amount of data being collected
4
:
The way data is processed
13 : What is an outlier in a dataset?
1
:
The most frequent value
2
:
The average of all values
3
:
An unusual or extreme value that doesn't fit the pattern
4
:
The middle value when all values are arranged in order
14 : What does data encryption do?
1
:
It converts data into a code to prevent unauthorized access.
2
:
It makes data available to everyone online.
3
:
It automatically deletes old data.
4
:
It speeds up internet connection.
15 : How many types of data analysis are available?
1
:
1
2
:
2
3
:
3
4
:
4
16 : Which statistical measure provides central tendency?
1
:
Standard deviation
2
:
Variance
3
:
Mean
4
:
Range
17 : What is the primary function of data collection?
1
:
Data analysis
2
:
Data storage
3
:
Data generation
4
:
Data acquisition
18 : Which is NOT a characteristic of big data?
1
:
Veracity
2
:
Velocity
3
:
Validity
4
:
Volume
19 : Which industry relies on IoT for supply chain optimization?
1
:
Healthcare
2
:
Finance
3
:
Retail
4
:
Education
20 : Common language for big data analytics?
1
:
Java
2
:
Python
3
:
C++
4
:
Ruby
21 : How does data science add value to big data?
1
:
Creating more data
2
:
Making storage efficient
3
:
Extracting insights and predictions
4
:
Ensuring data quality
22 : Method of collecting information from individuals?
1
:
Survey
2
:
Data scraping
3
:
Data mining
4
:
Data synthesis
23 : Which technology stores/processes large distributed datasets?
1
:
SQL databases
2
:
Hadoop
3
:
Relational databases
4
:
Excel
24 : Customer satisfaction levels are what data type?
1
:
Ordinal data
2
:
Continuous data
3
:
Numerical data
4
:
Ratio data
25 : What is the primary purpose of data visualization?
1
:
Data collection
2
:
Data exploration
3
:
Extracting insights
4
:
Data modeling
26 : Which is an interval scaled attribute?
1
:
Age
2
:
Temperature in Celsius
3
:
Height
4
:
Weight
27 : Key application of big data in business?
1
:
Social media management
2
:
Customer behavior analysis
3
:
Weather forecasting
4
:
Artistic creativity
28 : What do the 3Vs of big data refer to?
1
:
Veracity, Velocity, Variety
2
:
Volume, Value, Velocity
3
:
Validity, Variety, Volume
4
:
Volume, Velocity, Variety
29 : What transforms raw data into structured format?
1
:
Data modeling
2
:
Data preprocessing
3
:
Data collection
4
:
Data ethics
30 : Data that can only take certain values is?
1
:
Continuous data
2
:
Discrete data
3
:
Ordinal data
4
:
Interval data
31 : Limitation of big data?
1
:
Unlimited growth
2
:
Data privacy concerns
3
:
Data visualization
4
:
Predictive maintenance
32 : Which data attribute has ordered categories with inconsistent intervals?
1
:
Nominal
2
:
Binary
3
:
Ordinal
4
:
Interval
33 : What best describes big data?
1
:
Data stored in traditional databases
2
:
High volume, velocity, and variety data
3
:
Small datasets
4
:
Only social media data
34 : Fast rate of data reception is called?
1
:
Volume
2
:
Velocity
3
:
Variety
4
:
Veracity
35 : Graphical data representation is called?
1
:
Data cleaning
2
:
Data visualization
3
:
Data transformation
4
:
Data annotation
36 : Examining data to identify patterns is called?
1
:
Data analytics
2
:
Data predictions
3
:
Data mining
4
:
Data modeling
37 : A structured collection of data associated with work is called?
1
:
Database
2
:
Dataset
3
:
Data warehouse
4
:
Data lake
38 : Primary challenge with traditional data processing for big data?
1
:
Lack of storage
2
:
Slow processing speed
3
:
Inability to handle diverse/large data
4
:
High cost
Computer 9th MCQs || Ilam Ghar
Computer 9th
Chapter 9 : Data science and data gathering
