GCSE - Data representation

0.0(0)
Studied by 0 people
call kaiCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/63

encourage image

There's no tags or description

Looks like no tags are added yet.

Last updated 12:27 PM on 6/13/26
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai

No analytics yet

Send a link to your students to track their progress

64 Terms

1
New cards

What is binary?

A number system with base 2 that only uses the digits 0 and 1.

2
New cards

What is denary?

A number system with base 10 that uses the digits 0–9.

3
New cards

What is hexadecimal?

A number system with base 16 that uses the digits 0–9 and A–F.

4
New cards

What does A represent in hexadecimal?

10

5
New cards

What does F represent in hexadecimal?

15

6
New cards

Why do computers use binary?

Because computer circuits contain transistors which only have two states: ON and OFF.

7
New cards

What are the 8-bit binary place values?

128, 64, 32, 16, 8, 4, 2, 1

8
New cards

Convert 10101010 to denary.

170

9
New cards

Why is hexadecimal used?

To represent binary numbers in a shorter, more readable form.

10
New cards

How many binary bits does one hexadecimal digit represent?

4 bits.

11
New cards

What is 1 + 1 in binary?

10

12
New cards

What is 1 + 1 + 1 in binary?

11

13
New cards

What is overflow?

When there are not enough bits available to store a value.

14
New cards

When can overflow occur?

When the result of a calculation is larger than can be stored in the available bits.

15
New cards

What is sign and magnitude?

A method of storing negative numbers where the leftmost bit indicates the sign.

16
New cards

In sign and magnitude, what does the first bit represent?

0 = positive, 1 = negative

17
New cards

What is two’s complement?

A method used by computers to represent negative binary numbers.

18
New cards

How do you find a two’s complement number?

Write the positive binary number, invert all bits, then add 1.

19
New cards

Why is two’s complement better than sign and magnitude?

It avoids having two representations of zero and makes arithmetic easier.

20
New cards

What happens in a left shift?

All bits move left and zeros are added on the right.

21
New cards

What does a left shift do to a number?

Multiplies it by 2 for each place shifted.

22
New cards

What happens in a right shift?

All bits move right.

23
New cards

What does a right shift do to a number?

Divides it by 2 for each place shifted.

24
New cards

What is ASCII?

A character set that assigns binary codes to characters.

25
New cards

Why is ASCII needed?

Because computers need a way to represent text using binary.

26
New cards

What does ASCII stand for?

American Standard Code for Information Interchange.

27
New cards

What does ASCII store?

Letters, numbers, punctuation and symbols.

28
New cards

Give an example of an ASCII character.

A = 65

29
New cards

What is a pixel?

The smallest individual dot that makes up a digital image.

30
New cards

What is image resolution?

The total number of pixels in an image.

31
New cards

What happens when resolution increases?

Image quality improves and file size increases.

32
New cards

What is colour depth?

The number of bits used to represent the colour of a pixel.

33
New cards

What happens when colour depth increases?

More colours can be displayed and file size increases.

34
New cards

What does a 1-bit colour depth allow?

2 colours.

35
New cards

What does an 8-bit colour depth allow?

256 colours.

36
New cards

What does a 24-bit colour depth allow?

Around 16.7 million colours.

37
New cards

What is the image file size formula?

Resolution × Colour Depth

38
New cards

What is a sample?

A measurement of a sound wave at a particular moment.

39
New cards

What is sample rate?

The number of samples taken each second.

40
New cards

What is sample rate measured in?

Hertz (Hz).

41
New cards

What happens when sample rate increases?

Sound quality improves and file size increases.

42
New cards

What is bit depth?

The number of bits used to store each sample.

43
New cards

What happens when bit depth increases?

Sound quality improves and file size increases.

44
New cards

What is the sound file size formula?

Sample Rate × Bit Depth × Duration

45
New cards

What is compression?

Reducing the size of a file.

46
New cards

What is lossless compression?

Compression where no data is permanently removed.

47
New cards

What is an advantage of lossless compression?

The original file can be perfectly reconstructed.

48
New cards

What is a disadvantage of lossless compression?

Files are larger than with lossy compression.

49
New cards

What is lossy compression?

Compression where some data is permanently removed.

50
New cards

What is an advantage of lossy compression?

Produces much smaller file sizes.

51
New cards

What is a disadvantage of lossy compression?

Some quality is lost permanently.

52
New cards

Give two examples of lossless compression.

PNG and ZIP.

53
New cards

Give two examples of lossy compression.

JPEG and MP3.

54
New cards

Define Binary.

A number system that uses only the digits 0 and 1.

55
New cards

Define Hexadecimal.

A base-16 number system that uses the digits 0–9 and A–F.

56
New cards

Define Overflow.

When there are insufficient bits available to store a value.

57
New cards

Define ASCII.

A character set that assigns binary values to characters.

58
New cards

Define Pixel.

The smallest element of a digital image.

59
New cards

Define Resolution.

The number of pixels in an image.

60
New cards

Define Colour Depth.

The number of bits used to represent the colour of a pixel.

61
New cards

Define Sample Rate.

The number of sound samples taken per second.

62
New cards

Define Bit Depth.

The number of bits used to store each sound sample.

63
New cards

Define Lossless Compression.

Compression where no data is permanently removed and the original file can be perfectly reconstructed.

64
New cards

Define Lossy Compression.

Compression where some data is permanently removed, reducing file size but also reducing quality.