Quadrat Sampling

In addition, the quadrat sampling is simple and with the table and the performance curve we were able to find the density and the area. The data can be analyze in with the curve or with the table. Both of the information provided in the curve and the table shows that 3 is the density of pill bugs in the area. The second method for estimating abundance is the mark recapture method. When performing this method the average population estimate is 190.211 beans. The standard error is 5.15812 and the 95% confidence limit is among 180.1010 beans to 200.3209 beans. The total number of beans is 239 beans do not fall into the confidence limit intervals. We can conclude that our true abundance does not fall within the confidence interval. There is a five percent chance that might confidence interval will not fall into this value. The p-value is 0.0001 which means that my sample mean differs significantly from my true population.
Discussion …show more content…
The quadrat sampler is very easy to calculate the density and the total population. It is also easy to use in other experiments because you are just taking a sample of a quadrat and obtaining the total number of that quadrat. In addition, this quadrant sampler was close to the total number of bugs in the area. It was not just close to the total number of the area but it could save you time so you would not have to count all of the quadrats. However, when doing sampler quadrants is better to do the random quadrats since it is not just focusing in a specific area and the bugs where more abundant in this area which is why the random average sample was closer to the total average bugs in the area. If you want to get an accurate estimate of the absolute density of the pill bugs without counting them all use the random quadrat sampler because it would give you a close number to the actual