02 May WHAT TYPE OF DIFFERENCE DID YOU FIND BETWEEN THE PERCENT ERROR IN YOUR FIRST AND SECOND TRIAL OF BEAN POPULATION SIZES?
Place two large handfuls of the dry beans (your organisms) into a container.
Randomly select 25 organisms (beans) from this population. This will represent your sample.
Take your permanent marker and place a mark of some type on each bean.
Return the beans back to their population by placing them in the container.
Gently mix the population of beans so the sampled ones are evenly mixed in.
Randomly select another 25 organisms (beans) from your population again.
Record the number of recaptured organisms.
Use the Lincoln-Petersen equation to estimate your bean population and record your final estimate.
Repeat the experiment a second time with a fresh population.
Percent Error
Percent error is used to indicate how close a measured value is to the true or accepted value and is determined using the following equation:
(measured value – true value) x 100 = Percent Error
true value
The percent error is always reported as a positive number, so if you get a negative number with your equation, dont worry. Just drop the negative sign. You will need to count your actual population size (the actual number of beans your sample came from that was in the container you used is the number for true value in your percent error equation and measured value is the number of organisms/beans you captured) to calculate percent error. What is the percent error for your bean population size based on the estimates you determined?
Lab Report
In addition to following the specific criteria of your lab report grading rubric, also consider and address the following questions in your report:
Describe the experimental design you carried out for estimating your bean populations.
Provide the calculations you did and results you came up with.
How accurate were your estimates of the population size of beans you used?
What type of difference did you find between the percent error in your first and second trial of bean population sizes?
What do you think the strengths of this method are? And the weaknesses?
What c
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