Analog quantities are represented by discrete symbols, while digital quantities vary continuously. Analog quantities can vary continuously, while digital quantities are represented by discrete symbols. Analog quantities are always larger than digital quantities. Digital quantities are easier to design than analog quantities.

High voltage and low voltage, respectively. A circuit being off and a circuit being on, respectively. A circuit being on and a circuit being off, respectively. Positive and negative charges, respectively.

Because they can represent more complex data types than other number systems. Due to their ability to integrate more digital circuitry onto IC chips. Because of the simplicity of binary arithmetic and the rapid rate of data manipulation. They are less susceptible to noise compared to other number systems.

The highest-value symbol in the system. The total count of distinct symbols it uses. The number of mathematical operations it can perform. The speed at which calculations can be performed.

Enhanced accuracy and precision. Reduced susceptibility of digital circuits to noise. Increased power consumption of digital devices. Simplified information storage.

Base 2, using digits 0 and 1. Base 8, using digits 0-7. Base 10, using digits 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9. Base 16, using digits 0-9 and A-F.

By placing a superscript '2' after the number. By writing them in bold font. By enclosing them in parentheses. By adding the subscript '2' after the number.

They allow for more complex mathematical operations. They are easier for humans to read and write due to their larger set of digits. They are the only systems capable of representing non-numeric data. They use only two digits, making them simpler for computers to process.

Successively divide the decimal number by 2. Repeatedly subtract the largest power of 2 that is less than or equal to the decimal number. Group the decimal digits into threes. Convert each digit to its 4-bit binary representation.

Successively divide the binary number by 8. Group the binary digits into groups of four, starting from the right. Group the binary digits into groups of three, starting from the right, then convert each group to its decimal equivalent. Convert each binary digit to its octal equivalent directly.

Convert it to its equivalent 4-bit binary representation. Convert it to its equivalent 3-bit binary representation. Divide the octal digit by 2 and note the remainder. Subtract the largest power of 8 less than the digit.

Multiply the last quotient by the base. Add all the remainders to get the final answer. Read the remainders from top to bottom. Form the equivalent number by reading the remainders from bottom to top.

Weighted codes only use binary digits, while unweighted codes can use other symbols. In weighted codes, each bit position is assigned a specific value or weight, while in unweighted codes, no fixed weight is assigned to bit positions. Unweighted codes are used for arithmetic operations, while weighted codes are not. Weighted codes are primarily used for error detection, while unweighted codes are not.

It uses fewer bits than pure binary for the same decimal number. Each decimal digit is independently converted to a 4-bit binary code. It directly supports arithmetic operations without conversion. It can represent alphabetic characters as well as numbers.

For converting numbers between different bases. For single-bit operations only. For understanding the fundamental principles of decimal arithmetic. For multi-bit operations.

They both occur when the sum of digits is 0. They both involve borrowing from the next higher place value. Any sum exceeding the maximum digit for the system's base necessitates a carry-over. They only occur when adding numbers with different bases.

Direct representation and inverse representation. Signed-magnitude and complement number systems. Floating-point and fixed-point systems. ASCII and Unicode representations.

By adding one to the original number. By subtracting each digit from the radix (base) plus one. By complementing the entire number (flipping bits in binary). By subtracting each digit from the radix (base) minus one.

To reduce the number of bits required for data storage. To make digital circuits more complex. To bridge the gap between binary operations and human-readable decimal information. To exclusively perform arithmetic operations.

Unweighted codes are used for arithmetic operations, while weighted codes are not. Unweighted codes are primarily used in arithmetic operations due to their positional weight. Unweighted BCD codes are used in data processing, transmission, and measurement, but not in arithmetic operations due to their lack of positional weight. Weighted codes are only for character representation, while unweighted codes are for numbers.