Final answer:
The question pertains to calculating class intervals for a swimmer's times, which involves finding the range of the data and dividing it by the number of desired intervals. The process relates to organizing and analyzing athletic performance data.
Step-by-step explanation:
The subject of this question involves calculating class intervals for a set of data related to athletic performance, specifically swimming times. To determine the class interval, one would first need to know the range of the data set; this is the difference between the maximum and minimum values. With the range known, it is then divided by the desired number of class intervals, which in this case is stated to be six. Although the exact data for Michael Phelps' 200-meter Butterfly times is not provided, the process for finding the class interval would involve subtracting the slowest swim time from the fastest and dividing by six.
When evaluating performance data, like the times of a swimmer or sprinter, and the associated measurements such as heart rate or running speed, statisticians and coaches often use classification techniques to organize and analyze the data. For instance, the question related to a new stopwatch's uncertainty of ±0.05 seconds touches upon the concept of measurement reliability and precision, which is crucial for accurately determining an athlete's performance improvements or placing in a race.