80. (H446)SLR13–1.4 Floating point binary part 2 – Normalisation

What is the primary purpose of floating point binary numbers?

• To store integers only

• To increase storage space

• To simplify binary operations

• To represent real numbers

What does the exponent indicate in a floating point binary number?

• The base of the number

• The position of the binary point

• The precision of the number

• The number of zeros

What is the significance of the mantissa in floating point binary?

• It is used to calculate the base

• It represents the exponent value

• It holds the actual data or significant digits of the number

• It determines the sign of the number

How is the exponent stored?

• In decimal form

• In binary form

• In hexadecimal form

• In two's complement

What is the advantage of normalized floating point binary numbers?

• They simplify the conversion process

• They support a larger range of numbers

• They ensure numbers are stored with the highest accuracy

• They require less memory

Why do we normalize floating point binary numbers?

• To reduce computational errors

• To ensure a unique representation for each number

• To increase the range of representable numbers

• To decrease the size of the binary number

In the context of floating point binary, what does 'normalizing' primarily involve?

• Moving the binary point to a standard position

• Reducing the number of bits used

• Adjusting the exponent only

• Converting the number to two's complement

What is the exponent value used to normalize the number 6.5?

• Four

• Three

• Two

• Five

What does a positive exponent indicate in normalized floating point binary?

• The number is negative

• The number is positive

• The binary point moves to the right

• The binary point moves to the left

How is a negative number represented in normalized floating point binary?

• Starting with '11'

• Starting with '01'

• Starting with '10'

• Starting with '00'