Blog Post #3

3/04/2022- Hey guys!

I am almost there, I am almost done collecting my data. I officially would have been done on march 4th but the data from the particle sensor stopped updating on the 2nd so I have to redo data collection fro march 3rd. To make up for the lost data points I will collect data on Tuesday the 8th since both the 3rd and 8th are even days. Oddly enough it does not seem like I finally am done with data collection, it has been such a long process, but being able to say I am almost done is extremely relieving.

Since the chapter of data collection is pretty much closed, that means a new one must be opened, analyzation. Judging solely on how the graph looks over a 1 month period since I started collecting data on February 8th I will restate my hypothesis that the Corsi/Rosenthal Box Fan will prove to be more effective at cleaning the air of a classroom since it appears that the filter achieved lower numbers of PM10 and PM2.5 when compared to the $300 district provided fan. After speaking with Ms. Uchyn I have decided to use a two sample t-test to analyze my research and draw conclusions as this type of statistical analysis test is best for comparing two independent test groups, allowing for me to compare each location of fan to determine the bet.

After examining how the statistical analysis test is conducted, it is going to be a long process to input and compute all the data I have collect as the sensor I used recorded data on the air every 5 minutes for 24 days. To give en example of what the data looks like I included an image of a generalized graph of the data the sensor collected regarding the air quality of the classroom I tested.

If my hypothesis is correct and is supported and backed by what my data proves, then that means that clean air is significantly more accessible because the DYI ~$30 dollar box fan out performs the $300 filter schools bought for each classroom, effectively reducing the cost to almost a tenth of what the Douglas County school district payed. Providing people who are at risk for catching airborne viruses a safer work or school environment.

Above is a graph representing the data I have collected nearly the end of my data collection process. Red represents the count of particles between 10 and 5 µm in diameter, the greenish-yellow color displays the count of particles less than 2.5 and greater than 1 µm in diameter, the turquoise line shows the change in humidity, and the dark blue line shows the change in temperature; each have with their own respective units and scales.

Data collection began on 02/08/2022 and was supposed to have concluded on 03/03/2022 but the data from the 3rd of March was not collected and recorded for whatever reason causing collection to run into the week of the 6th of March.