Section 3 - Data Representation Flashcards

1
Q

How many bytes are in a kilobyte?

A

1000

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2
Q

How many bytes in a gigabyte?

A

1,000,000,000

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3
Q

How many bytes in a petabyte?

A

1,000,000,000,000,000 bytes

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4
Q

What is the biggest number you can represent with 8 bits?

A

255

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5
Q

What is overflow?

A

If a number is bigger than 255 and requires a 9 bits or more

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6
Q

What is hexadecimal?

A

Each nibble is represented as 1 - 16 in one digit so it becomes 1 - 9 and a - f as past 9 the digits have more than 1 character

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7
Q

What is a vector graphic?

A

It is made of lines and shapes with specific properties such as line styles, line colour, fill colour and start/end point

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8
Q

What is a pixel?

A

A picture element (pixel) is a single point in an image which can have its own colour set entirely

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9
Q

How do you work out the size of an image?

A

Size in bits = image width x image height x colour depth

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10
Q

What is an analogue to digital convertor?

A

The transformation of analogue sound waves to digital, numerical values

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11
Q

What is a sample resolution?

A

The number of bits to store each sample

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12
Q

What is the sample rate?

A

The frequency with which you record the amplitude of the sound

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13
Q

What is lossy compression?

A

Lossy compression is a data encoding method where files are compressed by removing some of the detail.

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14
Q

What is lossless compression?

A

This is a data encoding method where files are compressed but no data is lost.

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15
Q

What is run length encoding?

A

Run length encoding is a simple form of lossless data compression in which runs of data (sequences of data all having the same value) are stored using frequency/data pairs

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16
Q

What is Huffman coding?

A

Huffman coding is a compression technique used to reduce the number of bits used to represent each letter. The more frequently a letter appears in the text, the fewer bits are used to represent it in a text file