Library Statistics

     I posted the "beta" of this report a few weeks ago, but here is the final draft.  Not much has changed other than some typo corrections (although up re-rereading some still exist).  Essentially I made observations of our university library to monitor the number of computers being used throughout the week.  Without all the stats and graphs, here's the conclusion and link to the .pdf.

     In conclusion, several inferences can be made from this data.  Firstly, the staff hypothesis that the library is most busy during "regular business hours" can be confirmed as seen by the trends in percentage of vacant computers and population.  Secondly, my first hypothesis -- that there would be a significant negative relationship between population and the percentage of vacant computers can be confirmed by the presented data.  Thirdly, my second hypothesis -- that day-of-the-week would not have a significant relationship with the percentage of vacant computers -- has been refuted.  Lastly, my third hypothesis -- that time-of-day would have a significant relationship with the percentage of vacant computers -- can also be refuted.
     Additionally, the initial analysis has been largely supported by in depth statistical analysis.  A library patron's strongest probability for finding a vacant desktop computer to work on would be when there is the highest percentage of vacant computers.  this happens to be on the second floor on Friday if one is not constrained by time, however, if time is an important factor on will find the highest percentage of vacant computers on Thursday around 9:00 p.m.  In general, however, there is a higher percentage of vacant computers later in the week, on a higher floor, and later in the day.  Further research and considerations may need to be made to accommodate for population and (potentially) inherent noise levels associated with more populous times and floors within Ingram Library.