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Determine which of the four levels of measurement (nominal, ordinal, interval, ratio) is most appropriate for the data below. internet speed levels of "fast comma " "medium comma " and "slow" choose the correct answer below. a. the ordinal level of measurement is most appropriate because the data can be ordered comma but differences left parenthesis obtained by subtraction right parenthesis cannot be found or are meaningless. nothing nothing nothing nothing nothing b. the interval level of measurement is most appropriate because the data can be ordered comma differences left parenthesis obtained by subtraction right parenthesis can be found and are meaningful comma and there is no natural starting point. c. the nominal level of measurement is most appropriate because the data cannot be ordered. nothing d. the ratio level of measurement is most appropriate because the data can be ordered comma differences left parenthesis obtained by subtraction right parenthesis can be found and are meaningful comma and there is a natural starting point.

The processing of data in a computer involves the interplay between its various hardware components.

When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?