Lesson 4.5.4.7

4.5.4.7 Range, precision and normalisation of floating point Quiz: AQA Computer Science, Unit 5

20 questions

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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.

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The 20 questions

  1. For a given total number of bits, which form provides the larger range?

    • Fixed point
    • Floating point
    • Pure binary
    • Character code
  2. What property of a floating point representation is determined by the number of mantissa bits?

    • Range
    • Precision
    • Overflow limit
    • Calculation speed
  3. What is the primary purpose of normalising a floating point number?

    • Increase speed
    • Maximise range
    • Maximise precision
    • Prevent underflow
  4. What are the first two bits of a normalised positive floating point mantissa?

    • 0.0
    • 1.0
    • 0.1
    • 1.1
  5. What is the main processing advantage of fixed point over floating point representation?

    • Variable point
    • Greater precision
    • Larger range
    • Faster calculations
  6. What is the main disadvantage of fixed point representation compared to floating point?

    • Unstable precision
    • Limited range
    • Slower speed
    • Complex hardware
  7. Which component of a floating point number determines its range?

    • Mantissa
    • Exponent
    • Sign bit
    • Parity bit
  8. 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
  9. 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
  10. What aspect of a floating point representation is directly limited by mantissa size?

    • Precision
    • Range
    • Speed
    • Exponent bias
  11. 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
  12. A normalised mantissa is 0.1011 with exponent 4 in base 2. What is its decimal value?

    • 11
    • 2.75
    • 0.6875
    • 5.5
  13. What bit must immediately follow the binary point in a normalised positive mantissa?

    • 1
    • Sign bit
    • Exponent bit
    • 0
  14. 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
  15. 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
  16. How does normalisation prevent precision loss in floating point numbers?

    • Adds exponent bits
    • Extends sign bit
    • Removes leading zeros
    • Rounds least significant
  17. 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
  18. 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
  19. Why is fixed point representation often chosen for simple embedded systems?

    • Simpler calculation hardware
    • Automatic normalisation
    • Higher floating precision
    • Maximum dynamic range
  20. What is the maximum decimal value that can be stored in an unsigned 16-bit integer?

    • 65535
    • 32767
    • 1000000
    • 65536

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