Method 1: Point Sampling
1.) 39 organisms were found within intersections of 1 cm. As we sampled 4% of the original number, then 39*25 = 936 organisms (100%) is the estimated population.
2.) Percent error: [(193-936)/193]*100% = 385%
Method 2: Quadrant sampling
The numbers found were: H7=0, C2=3, F1=2, A7=0, G4=1, F10=4, B5=3, B9=3, C8=2, A6=2
3.) Average population for a quadrant is 2.
4.) Estimated population is 2(population in each quadrant) * 100(quadrants) = 200 organisms.
5.) Actual population of organism are 193. Percent error: [(193-200)/193]*100% = 3.63 %
6.) I drew paper slips rather than just choosing 10 grid segments for this method because it would be a complete overall prediction from different locations of the grid. This way, there is a variety in the data we have and not
Method 3: Transect Sampling
A&B=9, B&C=14, C&D=11, D&E=6, E&F=3, F&G=3,G&H=8, H&I=10, I&J=12. Total=71.
7.) Total organisms found within 1cm of a line were 71. Estimated population would be 71*5=355 organisms (because 20%*5=100%)
8.) Total number of beans is 193. Percent error =[(193-355)/193]*100% = 83.9%
Method 4: Mark-Recapture Sampling
9.) In my experiment I got: N=(19*7)/1 = 133/1 = 133
10.) Percent error = [(193-133)/193]*100% = 31.1%
OVERALL ANALYSIS
11.) Method 2 was the most accurate way of predicting the population because I calculated the average number of organisms in each quadrant and multiplied it by 100 leading to the closest number because it has a low percent error.
12.) In methods 1 and 3, I could increase the number of sampled organisms of the total populations. For e.g. 4% to 20% and 20% to 25%.
13.) The best analysis for sampling plant populations would be Method 3, because the person could be able to divide the rich land into lines/columns. He would have to calculate the number of plants within 1cm of the line, and would have to multiply the number by 5. This would be much easier than Method 1, but Method 2 would also be hard because the person would have to divide the land into equal 100 quadrants.
14.) The best analysis for sampling animal populations would be the Lincoln-Peterson index because it involves capturing individuals from a population of interest, marking them, releasing them for a relatively short period of time, and then later recapturing individuals from the same population and counting the number of marked and unmarked individuals. The size of the entire population can be accurately estimated from the proportion of marked and unmarked animals. This would not work for plants because plants aren’t capable of moving and it will depend on the person who collects the data.