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Question: quick computer science questions answer 115 for positive rate...

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Quick computer science questions. Answer 1-15 for positive rate

Circle the correct answer or write the correct answer in the space provided 1. A fraction with a nonzero leftmost digit is said to be normalized. For example, 10.0112 x 2-3 is normalized by shifting the binary point 2 places to the left and increasing the exponent by 2 yielding 0 . 100 112 2-1 The mantissa m of every correctly normalized non-zero floating-point number, ± m 2exponent satisfies the relationship m e A: [ 0.0,1.01 B: [ 0.1,1.0 ] C: ( О.1,1.0 ) D: [ 0.1,1.0 ) E: ( 0.1,1.0 ] 2. T or F? Floating-point computations always yield exact answers except when underflow or overflow occurs. 3. T or F? F 4. T or F? Every 32-bit combination of the IEEE(Standard)-754 single-precision floating-point number is a real number that can be found on the real number line. loating-point underflow and overflow occur because of the mantissa fields lack of precision. 5. Which aspect of the floating point representation is d A: exponent size B; mantissa precision C: mantissa range D: exponent range E: none of these oubled going from IEEE-754 single-precision to double-precision? 6. T or F? Because of its double-ness, double-precision floating-point addition usually produces an exact answer, not merely an approximate answer 7. T or F? All positive IEEE-754 denormalized numbers are strictly less than the smallest positive normalized number Use n to write an expression that computes the excess amount for the n-bit excess notation used by the IEEE-754. Hint When n -8 (single precision), the excess amount is 127; when n - 11 (double precision), the excess amount is 1023 9. T or F? Increasing the number of bits in the IEEE-754 significand improves the precision or accuracy of the real number approximation. 10 Convert the IEEE-754 single-precision floating-point number BF69800016 to decimal. Convert 93/128 to IEEE-754 double-precision format. Express your answer as 16 hexadecimal nibbles. 12 is a denormalized number Convert the IEEE-754 single-precision floating-point number 8000000F16 to binary expressed in normalized scientific notation. Hint 8000000F16 13 Convert the IEEE-754 double-precision floating-point number FFF123456789ABCD16 to binary expressed in normalized scientific notation. What is the excess-1023 exponent value of the IEEE-754 double-precision floating-point number 14 x = D1 BEE DO 1 2 3 4 5 6 7 8 9 16 expressed in decimal; that is, the unsigned-integer value of the exponent field actually found in the 64-bit representation and not the exponent that the excess-1023 exponent value represents? 15 point number x is expressed using the notation ± significand significand e 1.00. . .02,1.11.. .12 1? (Continuing 14) What is the exponent of the double-precision number x expressed in decimal; that is, the value of exponent when the floating- 2exponent where

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