Lesson 4.5.4.7
4.5.4.7 Range, precision and normalisation of floating point Quiz: AQA Computer Science, Unit 5
20 questions
In partnership with Revision Ninja
Lesson 4.5.4.7, Range, precision and normalisation of floating point: 20 multiple choice questions for the AQA Computer Science (7517), Unit 5: Fundamentals of data representation, written with Revision Ninja.
Host it live on the board and students join with a game code on their own devices, or revise alone with Free Play. The answers are revealed in the game.
The 20 questions
-
For a given total number of bits, which form provides the larger range?
- Fixed point
- Floating point
- Pure binary
- Character code
-
What property of a floating point representation is determined by the number of mantissa bits?
- Range
- Precision
- Overflow limit
- Calculation speed
-
What is the primary purpose of normalising a floating point number?
- Increase speed
- Maximise range
- Maximise precision
- Prevent underflow
-
What are the first two bits of a normalised positive floating point mantissa?
- 0.0
- 1.0
- 0.1
- 1.1
-
What is the main processing advantage of fixed point over floating point representation?
- Variable point
- Greater precision
- Larger range
- Faster calculations
-
What is the main disadvantage of fixed point representation compared to floating point?
- Unstable precision
- Limited range
- Slower speed
- Complex hardware
-
Which component of a floating point number determines its range?
- Mantissa
- Exponent
- Sign bit
- Parity bit
-
Normalise the mantissa 0.0110 with exponent 3 in base 2. What is the normalised form?
- 0.0011 with exponent 4
- 0.0110 with exponent 3
- 0.1100 with exponent 4
- 0.1100 with exponent 2
-
Normalise the mantissa 0.0001 with exponent 5 in base 2. What is the normalised form?
- 0.1000 with exponent 2
- 0.0001 with exponent 5
- 0.0010 with exponent 3
- 0.1000 with exponent 8
-
What aspect of a floating point representation is directly limited by mantissa size?
- Precision
- Range
- Speed
- Exponent bias
-
Using 8 bits in fixed point with 6 integer bits and 2 fractional bits, what is the largest unsigned value?
- 255
- 63.75
- 16
- 63
-
A normalised mantissa is 0.1011 with exponent 4 in base 2. What is its decimal value?
- 11
- 2.75
- 0.6875
- 5.5
-
What bit must immediately follow the binary point in a normalised positive mantissa?
- 1
- Sign bit
- Exponent bit
- 0
-
What is the decimal value of the fixed point number 0010.1100 with 4 integer bits and 4 fractional bits?
- 2.75
- 3.25
- 2.5
- 10.75
-
A fixed point format has 4 integer bits and 2 fractional bits. What is the smallest positive step between values?
- 0.5
- 1
- 0.25
- 0.125
-
How does normalisation prevent precision loss in floating point numbers?
- Adds exponent bits
- Extends sign bit
- Removes leading zeros
- Rounds least significant
-
What is the effect of reallocating mantissa bits to the exponent in floating point?
- Greater range, greater precision
- Less range, greater precision
- Greater range, less precision
- Less range, less precision
-
A normalised mantissa is 0.1101 with exponent -2 in base 2. What is its decimal value?
- 0.8125
- 0.40625
- 3.25
- 0.203125
-
Why is fixed point representation often chosen for simple embedded systems?
- Simpler calculation hardware
- Automatic normalisation
- Higher floating precision
- Maximum dynamic range
-
What is the maximum decimal value that can be stored in an unsigned 16-bit integer?
- 65535
- 32767
- 1000000
- 65536
Related quizzes
- Natural, rational, irrational and real numbers Quiz · 4.5.1.1 · 20 questions
- Ordinal numbers, counting and measurement Quiz · 4.5.1.6 · 20 questions
- Number bases Quiz · 4.5.2.1 · 20 questions
- Bits and bytes Quiz · 4.5.3.1 · 20 questions
- Unsigned binary Quiz · 4.5.4.1 · 20 questions
- Unsigned binary arithmetic Quiz · 4.5.4.2 · 20 questions
- Signed binary using two's complement Quiz · 4.5.4.3 · 20 questions
- Numbers with a fractional part Quiz · 4.5.4.4 · 20 questions
- Rounding errors Quiz · 4.5.4.5 · 20 questions
- Underflow and overflow Quiz · 4.5.4.9 · 20 questions