Next slides show how Pink Panthers broke down their categories
Pivot table demonstrating the Raw data seen on the previous slide
Graphical demonstration of the previous pivot table
Hard to compare the two when they are not next to each other
Hard to compare the two becauseTo much information on one graph, leading to decrease in clarity i.e. Cannot see difference in the shades of redStill cannot easily compare to different categories with ease
Static pie graph demonstrating that Adam partied more than Damia and Louis put together, taking just over half of the area space of this pie.
Static bar graph demonstrating Louis as a sleepy head. Due to my miscalculations (this is Damia speaking) I have calculated the total amount of hours slept on the y axis to include the “total for week 1”, “total for week two”, and “total for both weeks” as well as the hours of each day over the 2 week period, thus giving much to much hours of sleep for all three of us. If you look at the pivot table the correct amount of hours of sleep fro Louis was “119”, for Damia was “107”, and for Adam was “113”. It is still evident that Louis slept the most amount of hours.
Pivot chart comparing the two area’s we are interested in looking at rather than the large pivot table from earlier.
Visual of the pivot table on the previous slide.
Here is a normaldistribution graph, where the X axis shows the amount of hours of work over a two week period; and the Y-axis shows the amount of hours of study over a two week period. The bell shape of the graph demonstrates that over a 2 week period, working 20 hours (equivalent to 10 hours per week) leads to optimal amount of study. Whereas more or less hours of work show to give sub-optimal hours of study. To the left, the tail of the curve drags out a bit more then to the left. Perhapse this demonstrates that less work rather then more work may be more effective when comparing the amount of study carried out. However this distorted bell shaped curve may simply be due to a small sample size and with more data collection, would produce a more rounded bell shape.Either way these theories cannot be determined until collection of more data from a larger sample size, over a longer period of time is carried out.
This is Louis’s combined study (on y-axis) compared to his work load (on x-axis)
This is Adams combined study (on y-axis) compared to his work load (on x-axis)
This isDamia’s combined study (on y-axis) compared to her work load (on x-axis)
Ass 3 Copy From Monday 12th Of October
Assignment 3 COMP1900 <br />Pink Panthers<br />Louis Smith <br />Adam Young <br />DamiaTarabay <br />1<br />
In the duration of two weeks all team members recorded their daily activities of how they scheduled their time.<br />Pink Panthers Assignment 3 2009<br />2<br />
Pink Panthers Assignment 3 2009<br />24<br /> It is argued that students who have no more than 10 hours of paid work a week are more effective than students who do not work or work longer hours <br />Lets look at the data again!<br />
Who is Studying more?<br />Pink Panthers Assignment 3 2009<br />25<br />Who is working more?<br />
Hours at Work vs. Hours of Study<br />Pink Panthers Assignment 3 2009<br />26<br />Total for both weeks<br />
Pink Panthers Assignment 3 2009<br />27<br />Hours of Study<br />Hours of Work<br />
Though our sample size was small, the data still shows that study time is significantly effected by work load. <br />Pink Panthers Assignment 3 2009<br />32<br />
This bell shape graph demonstrates that to much or to little work loads lead to sub optimal study time, whereas the average work load of 10 hours leads to optimal study time<br />Pink Panthers Assignment 3 2009<br />33<br />