79. (H446) SLR13 – 1.4 Floating point binary part 1

What is the primary focus of the video series?

• History of computing

• Learning programming languages

• Advanced algorithms in computer science

• Understanding floating point binary

How is the number 6 represented in an 8-bit binary format?

• 00000110

• 00000101

• 10000110

• 11000000

What binary representation is used for -6.5?

• 11001100

• 10011001

• 11110000

• 00000110

What is the biggest positive number that can be stored in an 8-bit fixed point binary format?

• 15.875

• 255

• 16.5

• 127.5

What limitation does fixed point binary have?

• Limited range of numbers

• Inability to represent whole numbers

• Inability to represent negative numbers

• Unlimited precision

How is the number 0.25 best represented in fixed point binary?

• 00000001

• 00000010

• 10000000

• 00000100

What does the mantissa represent in floating point binary?

• The actual value of the number

• The negative component of the number

• The total number of bits

• The position of the binary point

What advantage does floating point binary offer?

• Ability to choose between size and accuracy of the number

• Fixed position of the binary point

• Unlimited range of numbers without precision loss

• Simpler representation for all numbers

What is the primary challenge introduced by floating point binary?

• Storing the position of the binary point

• Limiting the number of bits for the mantissa

• Increasing the range of numbers

• Decreasing the computational complexity

How many bits are used for the mantissa in a 32-bit single precision number?

• 24 bits

• 32 bits

• 8 bits

• 16 bits