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Random Event in Probability & Identifying AI Applications

Total questions: 100

Worksheet time: 50mins

Name
Class
Date
1.

A die is rolled. What is the probability of getting an even number?

a)

1/6

b)

1/3

c)

1/2

d)

2/3

2.

A coin is tossed. What is the probability of getting a tail?

a)

0

b)

1/4

c)

1/2

d)

1

3.

A card is picked from a standard deck. Probability of picking a heart?

a)

1/52

b)

1/26

c)

1/13

d)

1/4

4.

Two dice are rolled. What is the probability of getting a sum of 7?

a)

1/12

b)

1/6

c)

1/36

d)

5/36

5.

A spinner has 4 equal colours (R, B, G, Y). Probability of landing on blue?

a)

1/2

b)

1/4

c)

3/4

d)

1

6.

Which application uses AI?

a)

Calculator

b)

Voice assistant

c)

Torch app

d)

Stopwatch

7.

Self-driving cars mainly rely on:

a)

Manual rules only

b)

AI and sensors

c)

Human drivers

d)

None of these

8.

Face unlock on phones uses:

a)

Random guessing

b)

AI image recognition

c)

Keyboard input

d)

Internet speed

9.

Online product recommendations use:

a)

Random choice

b)

AI pattern learning

c)

Fixed lists

d)

Manual sorting

10.

Spam email filters work using:

a)

Timers

b)

AI classification

c)

Human checking

d)

Passwords

11.

Longer necks in giraffes evolved due to:

a)

Artificial selection

b)

Natural selection

c)

Human breeding

d)

Random design

12.

Larger maize cobs grown by farmers is:

a)

Natural evolution

b)

Artificial selection

c)

Mutation only

d)

Chance

13.

Dog breeds exist mainly because of:

a)

Nature alone

b)

Climate

c)

Artificial selection

d)

Extinction

14.

Antibiotic-resistant bacteria develop through:

a)

Human design

b)

Natural selection

c)

Training

d)

Programming

15.

Selective breeding of cows for milk is:

a)

Natural evolution

b)

Artificial evolution

c)

Random mutation

d)

Extinction

16.

Sort by colour first, then size. Which comes first?

a)

A. Big red

b)

B. Small blue

c)

C. Big blue

d)

D. Small red

17.

Sort fruits by size (small → large). Which comes last?

a)

Grape

b)

Orange

c)

Banana

d)

Apple

18.

Sort numbers: 3, 10, 1, 7 First after sorting ascending?

a)

10

b)

7

c)

3

d)

1

19.

Sorting objects by weight is an example of:

a)

Random choice

b)

Algorithmic thinking

c)

Guessing

d)

Bias

20.

Sorting parcels by destination is based on:

a)

Colour

b)

Properties

c)

Shape only

d)

Chance

21.

Next symbol? (Visual Pattern Recognition)

a)

▲

b)

●

c)

■

d)

◆

22.

What comes next?

a)

अ

b)

आ

c)

इ

d)

ई

23.

What comes next?

a)

अ

b)

आ

c)

इ

d)

ई

24.

पैटर्न Pattern repeats every:

a)

1

b)

2

c)

3

d)

4

25.

Next colour?

a)

अ

b)

आ

c)

इ

d)

ई

26.

Pattern recognition helps AI mainly to:

a)

Guess randomly

b)

Learn relationships

c)

Forget data

d)

Break rules

27.

Numerical Sequence Patterns 26. 2, 4, 6, 8, __

a)

9

b)

10

c)

11

d)

12

28.

Numerical Sequence Patterns 27. 1, 4, 9, 16, __

a)

20

b)

24

c)

25

d)

30

29.

28. 3, 6, 12, 24, __

a)

30

b)

36

c)

48

d)

60

30.

29. 10, 8, 6, 4, __

a)

1

b)

2

c)

3

d)

5

31.

Recognising sequences helps AI in:

a)

Pattern learning

b)

Random output

c)

Deleting data

d)

Bias creation

32.

Traffic lights on timer are:

a)

AI

b)

Automation

c)

Human intelligence

d)

Learning systems

33.

A robot that learns to walk uses:

a)

Automation only

b)

AI

c)

Random motion

d)

Manual control

34.

Assembly line robots repeating tasks use:

a)

AI

b)

Automation

c)

Bias

d)

Neural networks

35.

AI differs from automation because AI:

a)

Follows fixed rules

b)

Learns from data

c)

Never changes

d)

Is faster only

36.

Which system adapts over time?

a)

Calculator

b)

Timer

37.

Ancient myths of moving statues show:

a)

Early AI imagination

b)

Real robots

c)

Computers

d)

Internet

38.

AI systems today are mainly:

a)

Magical

b)

Self-aware

c)

Programmed machines

d)

Humans

39.

The idea of artificial beings existed in:

a)

Only modern times

b)

Mythology

c)

2000 AD only

d)

Computers only

40.

AI works because of:

a)

Spells

b)

Code and data

c)

Emotions

d)

Dreams

41.

Early automata were:

a)

Learning machines

b)

Rule-based devices

c)

Conscious beings

d)

Random

42.

How many faces does a cube have?

a)

4

b)

5

c)

6

d)

8

43.

Which shape has only rectangular faces?

(a)  

44.

A pyramid has a:

a)

Circular base

b)

Triangular faces

c)

Curved surface

d)

No vertices

45.

Visualising 3D shapes helps in:

a)

Spatial reasoning

b)

Guessing

c)

Bias

d)

Random thinking

46.

Which shape rolls easily?

a)

Cube

b)

Sphere

c)

Pyramid

d)

Cuboid

47.

A directed graph shows:

a)

No direction

b)

One-way paths

c)

Random lines

d)

Shapes

48.

Path from ⬜ to ⬜ exists because:

a)

Undirected

b)

Direction allows it

c)

Random

d)

Impossible

49.

In a directed graph, arrows show:

a)

Speed

b)

Direction

c)

Weight

d)

Colour

50.

A path that follows arrows is called:

a)

Invalid

b)

Directed path

51.

Directed graphs are used in:

a)

Road navigation

b)

Dice games

c)

Coin tossing

d)

Sorting colours

52.

BFS explores nodes:

a)

Deep first

b)

Level by level

c)

Randomly

d)

Backwards

53.

DFS explores nodes:

a)

Level by level

b)

Deep before wide

c)

Random

d)

Shallow only

54.

BFS uses mainly:

a)

Stack

b)

Queue

c)

Array only

d)

Tree

55.

DFS uses mainly:

a)

Queue

b)

Stack

c)

Graph only

d)

List

56.

BFS is best for finding:

a)

Any path

b)

Shortest path

c)

Longest path

d)

Random path

57.

Overfitting means:

a)

Too little training

b)

Too much training

c)

Model fits noise

d)

Model fits only test data

58.

Bias occurs when data is:

a)

Balanced

b)

Limited or unfair

c)

Large

d)

Clean

59.

A biased AI result is:

a)

Always correct

b)

Unfair to some groups

c)

Random

d)

Neutral

60.

59. Overfitted models perform poorly on:

a)

Training data

b)

New data

c)

Old data

d)

Stored data

61.

To reduce bias, use:

a)

Less data

b)

Diverse data

c)

No testing

d)

Guessing

62.

Final direction faced?

a)

Up

b)

Down

c)

Right

d)

Left

63.

Starting at (0,0), move right 2, up 3. Final position?

a)

(2,3)

b)

(3,2)

c)

(−2,3)

d)

(0,5)

64.

Sequential commands must be followed:

a)

Randomly

b)

In order

65.

Navigation apps use sequences to:

a)

Confuse users

b)

Guide movement

c)

Randomise paths

d)

Remove roads

66.

Skipping a command causes:

a)

Same result

b)

Error

c)

Faster output

d)

Learning

67.

Bubble sort compares:

a)

First and last

b)

Adjacent elements

c)

Random pairs

d)

Middle only

68.

Bubble sort is best described as:

a)

Fastest always

b)

Simple but slow

c)

Complex

d)

Random

69.

In bubble sort, largest values move:

a)

To the start

b)

To the end

c)

To the middle

d)

Nowhere

70.

Bubble sort repeats passes until:

a)

Time ends

b)

List is sorted

c)

Memory full

d)

Random

71.

Bubble sort is easy to understand because it:

a)

Uses AI

b)

Mimics swapping bubbles

c)

Uses graphs

d)

Uses recursion

72.

The Chinese Room argues that AI:

a)

Understands language

b)

Manipulates symbols only

c)

Has emotions

d)

Thinks like humans

73.

According to the argument, AI lacks:

a)

Speed

b)

Understanding

c)

Memory

d)

Code

74.

The Chinese Room was proposed by:

a)

Alan Turing

b)

John Searle

c)

Isaac Newton

d)

Aristotle

75.

The argument challenges:

a)

Weak AI

b)

Strong AI

c)

Automation

d)

Hardware

76.

The room follows rules but has no:

a)

Output

b)

Meaning

c)

Input

d)

Language

77.

The Turing Test checks if a machine can:

a)

Think

b)

Act human-like

c)

Compute fast

d)

Store data

78.

Passing the Turing Test means:

a)

True intelligence

b)

Indistinguishable behaviour

c)

Consciousness

d)

Emotions

79.

The test involves:

a)

Visual recognition

b)

Conversation

c)

Drawing

d)

Movement

80.

The judge communicates via:

a)

Face-to-face

b)

Text

c)

Audio

d)

Images

81.

The Turing Test was proposed by:

a)

John Searle

b)

Alan Turing

c)

Einstein

d)

Boole

82.

Deepfakes are created using:

a)

AI

b)

Paint

c)

Cameras only

d)

Editing rules

83.

A deepfake can be dangerous because it:

a)

Saves time

b)

Spreads false information

c)

Improves learning

d)

Encrypts data

84.

One way to detect deepfakes is by:

a)

Ignoring them

b)

Checking source credibility

c)

Sharing quickly

d)

Deleting files

85.

Deepfakes threaten:

a)

Privacy

b)

Trust

c)

Security

d)

All of the above

86.

AI security focuses on:

a)

Creating threats

b)

Reducing misuse

87.

Data augmentation means:

a)

Removing data

b)

Increasing data variety

c)

Biasing data

d)

Testing only

88.

Flipping images is an example of:

a)

Overfitting

b)

Data augmentation

c)

Bias

d)

Noise

89.

Augmentation helps to:

a)

Reduce learning

b)

Improve generalisation

c)

Increase bias

d)

Memorise data

90.

Augmented data is:

a)

Fake only

b)

Modified original data

c)

Useless

d)

Random

91.

Data augmentation is used mainly in:

a)

Image ML

b)

Coin tossing

c)

Sorting numbers

d)

Probability

92.

AI can spread misinformation by:

a)

Verifying facts

b)

Generating fake content

c)

Encrypting files

d)

Teaching ethics

93.

Social media bots can:

(a)  

94.

Misinformation harms society by:

a)

Informing people

b)

Confusing the public

c)

Improving trust

d)

Saving time

95.

One way to reduce misinformation is:

a)

Fact-checking

b)

Blind sharing

c)

Ignoring sources

d)

Automation only

96.

AI responsibility includes:

a)

Speed only

b)

Accuracy and truth

c)

Bias creation

d)

Random output

97.

Facial recognition bias occurs when systems:

a)

Work equally

b)

Perform poorly for some groups

c)

Learn faster

d)

Use big data

98.

Ethical AI aims to be:

a)

Fast only

b)

Fair and transparent

c)

Secret

d)

Random

99.

Biased training data leads to:

a)

Neutral results

b)

Unfair decisions

c)

Better accuracy

d)

No output

100.

AI ethics focuses on:

a)

Hardware

b)

Human impact

c)

Speed

d)

Memory

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