6. For this question, mark all answers that apply. Assume any float or int is stored in 32 bits and float arithmetic is as specified by the IEEE 754 standard for single-precision. Which of the following statements about floating point arithmetic are true? If all values are normal and within range, the product of a group of floating point numbers generally produces a more accurate result than the sum O is a normal floating-point value Even if all values are normal and within range, (a+(b+c)) might not equal ( (a+b)+c) Given float f; int i, j;, no matter what value i is given, if £=i; j=f;, then j=-i Catastrophic cancellation can cause loss of accuracy in floating-point multiplication

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6. For this question, mark all answers that apply.
Assume any float or int is stored in 32 bits and float arithmetic is as specified by the IEEE 754 standard for single-precision. Which of the following statements about floating point arithmetic are true?
If all values are normal and within range, the product of a group of floating point numbers generally produces a more accurate result than the sum
O O is a normal floating-point value
Even if all values are normal and within range, (a+(b+c)) might not equal ( (a+b)+c)
Given float f; int i, j;, no matter what value i is given, if f=i; j=f;,then j==i
O Catastrophic cancellation can cause loss of accuracy in floating-point multiplication
000
Transcribed Image Text:6. For this question, mark all answers that apply. Assume any float or int is stored in 32 bits and float arithmetic is as specified by the IEEE 754 standard for single-precision. Which of the following statements about floating point arithmetic are true? If all values are normal and within range, the product of a group of floating point numbers generally produces a more accurate result than the sum O O is a normal floating-point value Even if all values are normal and within range, (a+(b+c)) might not equal ( (a+b)+c) Given float f; int i, j;, no matter what value i is given, if f=i; j=f;,then j==i O Catastrophic cancellation can cause loss of accuracy in floating-point multiplication 000
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