1. What do you learn from the above experiment?
This experiment involves learning about how sampling works. The key to any sample program is to obtain a representative sample. Sampling is the process by which organisms in small areas can be counted, or quantified, to estimate abundance over a larger area . The small areas, or samples, must be representative of the larger area for these estimates to be accurate. The more we sample, the more accurately we will be able to describe the ...view middle of the document...
But when all the samples are averaged together, the proportion of the beans in the container is evened out. Thus the more we sample, the more accurate our data. Quartering is a method used to reduce the number of sample without creating a systematic bias. The mixed beans are then divided into 4 portions; the two opposite portions then are transferred into two different containers. The same process is continued until an appropriate sample size remains. Analyses are made with respect to the sample left behind. There are some other things that could cause bias in our samples. For example, if a student accidentally got too few or too many when sampling the container. In all studies of food composition data, sampling of foods for analysis, and their subsequent preparation prior to analysis, are critical steps in the production of good quality and useful food composition data. Before any samples of food are purchased for a food composition program, a sampling plan should be developed and assessed critically to ensure that the foods purchased will be representative of those available.