SLR11 Binary

Question 1

Unsigned binary

Answer 1

“A binary number which uses every bit to represent the actual value, this means it can only represent positive numbers.”

Question 2

Signed binary

Answer 2

“A binary number which uses the Most Significant Bit (MSB) to represented the sign of the number, either 1 for negative or 0 for positive.”

Question 3

Two’s complement

Answer 3

“A method in computing of being able to store and represent floating-point real numbers (both positive and negative) as a string of pure binary digits. Uses the concepts of two’s complements, mantissa and exponent.”

Question 4

Fixed-point binary form

Answer 4

“A real data type for a number that has a fixed number of digits after (and sometimes also before) the radix point (binary point).”

Question 5

Floating-point binary form

Answer 5

“A real data type for a number where the number’s radix point (binary point) can “float”; that is, it can be placed anywhere relative to the significant digits of the number.”

Question 6

Normalised floating-point form

Answer 6

“A floating-point binary number that has been normalised has moved the binary point so that the first digit after the binary point is a significant digit. This process maximises the precision in a given number of bits, which means that the first two digits of a normalised floating-point number will always be different, 01 for positive and 10 for negative.”

Question 7

Underflow

Answer 7

“The generation of a number that is too small to be represented in the device meant to store it.”

Question 8

Overflow

Answer 8

“The generation of a number that is too large to be represented in the device meant to store it.”

Question 9

“A binary number which uses every bit to represent the actual value, this means it can only represent positive numbers.”

Answer 9

Unsigned binary

Question 10

“A binary number which uses the Most Significant Bit (MSB) to represented the sign of the number, either 1 for negative or 0 for positive.”

Answer 10

Signed binary

Question 11

“A method in computing of being able to store and represent floating-point real numbers (both positive and negative) as a string of pure binary digits. Uses the concepts of two’s complements, mantissa and exponent.”

Answer 11

Two’s complement

Question 12

“A real data type for a number that has a fixed number of digits after (and sometimes also before) the radix point (binary point).”

Answer 12

Fixed-point binary form

Question 13

“A real data type for a number where the number’s radix point (binary point) can “float”; that is, it can be placed anywhere relative to the significant digits of the number.”

Answer 13

Floating-point binary form

Question 14

“A floating-point binary number that has been normalised has moved the binary point so that the first digit after the binary point is a significant digit. This process maximises the precision in a given number of bits, which means that the first two digits of a normalised floating-point number will always be different, 01 for positive and 10 for negative.”

Answer 14

Normalised floating-point form

Question 15

“The generation of a number that is too small to be represented in the device meant to store it.”

Answer 15

Underflow

Question 16

“The generation of a number that is too large to be represented in the device meant to store it.”

Answer 16

Overflow