Systematic
Eastern hemlock (388-469.9)/469.9*100=17.4%
Sweet birch (148-117.5)/117.5*100=26%
Yellow birch (128-108.9)/108.9*100=17.5%
Chestnut oak (104-97.5)/87.5*100=18.9%
Red maple (136-118.9)/118.9*100=14.4%
Striped maple (40-17.5)/17.5*100=128.6%
White pine (20-8.4)/8.4*100=138.1%
Random sampling
Eastern hemlock (445.8-469.9)/469.9*100=5.1%
Sweet birch (95.8-117.5)/117.5*100=18.5%
Yellow birch (33.3-108.9)/108.9*100=69.4%
Chestnut oak (104.2-87.5)/87.5*100=19.1%
Red maple (150-118.9)/118.9*100=26.2%
Striped maple (29.2-17.5)/17.5*100=66.9%
White pine (12.5-8.4)/8.4*100=48.8%
Haphazard or subjective sampling
Eastern hemlock (679.2-469.9)/469.9*100=44.5%
Sweet birch (258.3-117.5)/117.5*100=119.8%
Yellow birch (108.3-108.9)/108.9*100=0.6%
Chestnut oak (83.3-87.5)/87.5*100=4.8%
Red maple (141.7-118.9)/118.9*100=19.2%
Striped maple (20.8-17.5)/17.5*100=18.9%
White pine (0-8.4)/8.4*100=100%
The systematic sampling had the shortest estimate sampling time : 12h35mins, while the random sampling needs 12h37mins, and haphazard sampling needs 12h41mins.
For common species, the random sampling was the most accurate way, which have error ranged between 5.1-18.5%. For rare species, striped Maple and White Pine,the systematic sampling have the greatest error which ranged from 128.6-138.1%, random sampling have mild error ranged between 48.8-66.9%, and haphazard sampling was accurate in sampling the Striped Maple, which only have 18.9% errors, while it did not detect any White Pine, it might due to the bias in the selection.
I think more sample plots will increase the accuracy rating, especially for rare species. Sampling the common species seemed more accurate in only 24 sample plots, so it may not require lots of sample plots, I think 50 sample plots should enough for a low error. However, the rare species seem to have large discrepancies in small sample size, sampling an accurate data for rare species required more sample plots further.
