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Introduction to Computing MCQs with Answers

Practice important Introduction to Computing MCQs with answers and explanations.

Multiple Choice Questions

Q451: How does binary notation compare to decimal notation regarding nonterminating expansions?
  • A: Fewer values have nonterminating representations in binary
  • B: More values have nonterminating representations in binary
  • C: Binary notation always terminates
  • D: Decimal notation always terminates
View Answer
B

Q452: Why might floating-point notation cause issues in storing dollar amounts accurately?
  • A: Because binary representation cannot exactly represent some decimal values
  • B: Because the sign bit is incorrect
  • C: Because the exponent field is too short
  • D: Because the mantissa field is too long
View Answer
A

Q453: What should be done to handle nonterminating expansions in floating-point systems when dealing with money?
  • A: Store values in units of pennies
  • B: Use larger mantissa fields
  • C: Ignore nonterminating values
  • D: Convert all values to integers
View Answer
A

Q454: What is the result of adding 2½ to 1/8 in a floating-point system with a 4-bit mantissa?
  • A: 25/8
  • B: 2
  • C: 3
  • D: 2¾
View Answer
A

Q455: In the example of adding 2½ and 1/8, what does the result 10.10 represent?
  • A: 25/8
  • B: 2½
  • C: 2¾
  • D: 45299
View Answer
B

Q456: What is the accurate result when adding 2½ and two 1/8 values?
  • A: 1101011
  • B: 1010101
  • C: 111000
  • D: 11100011
View Answer
A

Q457: How can ordering operations help in handling truncation errors?
  • A: By adding smaller quantities first to prevent truncation
  • B: By adding larger quantities first
  • C: By ignoring small quantities
  • D: By using only integer values
View Answer
A

Q458: When truncation errors occur, what is the effect on the final result?
  • A: The result becomes less accurate
  • B: The result becomes more accurate
  • C: The result remains unchanged
  • D: The result is always correct
View Answer
A

Q459: What is a common approach to improve accuracy in floating-point calculations?
  • A: Manipulate data in integer units
  • B: Increase the byte size for storage
  • C: Use fewer digits for representation
  • D: Ignore truncation errors
View Answer
A

Q460: If 2½ + 1/8 results in 25/8 with a 4-bit mantissa, what is lost in the representation?
  • A: The value 1/8
  • B: The value 2½
  • C: The sign bit
  • D: The exponent field
View Answer
A

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