Analyzing Sleep and Productivity Data

#1
You are given data that stores the hours that an individual slept every night between the data's start and end points. You are also given the individual's task lists for each day between the data's start and end points (the tasks that were completed are checked off).

What logic could be used to determine whether or not the hours of sleep affects the individual's overall completion rate of his/her task list for the following day?

Thanks in advance, I really appreciate the help.
 

Miner

TS Contributor
#2
Do you have information regarding the difficulty of the tasks? For example, one major task completed in a single 8 hour day may be more productive than 10 little tasks completed in the same period. What about the quality of sleep? 6 hours of uninterrupted sleep may be better than 8 hours of restless sleep broken up by times awake.
 

Karabiner

TS Contributor
#3
What logic could be used to determine whether or not the hours of sleep affects the individual's overall completion rate of his/her task list for the following day?
I am not sure what you mean by "logic"?
The factors/processes which have to be
considered when analysing the problem?

One of them is cumulated sleep deprivation.
Such as: If someone needs 8 hours of sleep
and has only 5 hours one night, this might
perhaps not affect his performance the next
day very much; but if he sleeps only 6 hours
the next night, the cumulated hours of deprivation
might start to show an effect. The result could
be something like:
day 1: 5hrs of sleep, performance 95%
day 2: 6hrs of sleep, performance 70%

With kind regards

Karabiner