Vermicomposting Analysis

  1. Make a Time/Population graph of your data(The Graph should take up the entire side of a sheet of paper (landscape orientation)
  2. On this graph also graph the pH and temperature
  3. On this graph mark events that could have made a difference in population (types of food, aeration, “lost” worms, added worms, worm eggs, plant growth, smells, pH change, Temperature Change, etc)
  4. Identify at least 3 events that could be correlated with the population changes
  5. For each correlation, check each group to see if they also found the correlation.
  6. Identify the most replicated correlation
  7. Design a controlled experiment to test that correlation that includes all the elements listed below.

Correlation Table

Table / Correlation 1 / Correlation 2 / Correlation 3
A
B
C
D
E
F
G
H
  • At the top of each column, describe the event and the change you noticed.
  • Next to each Table letter describe how often that group noticed the same correlation you found. If they did not do the event, then note that. If they did the event, then tell what happened

The most replicated correlation

Experimental Design Elements

  1. Dependent Variable
  2. Independent Variable
  3. Variations
  4. Control
  5. Hypothesis
  6. Reasoning
  7. Factors kept the same for accuracy
  8. Number of samples or repetitions for precision
  9. Procedure that explains how the experiment should be conducted including
  10. setting up the variations
  11. keeping the factors the same
  12. setting up samples or repetitions
  13. Empty Data Table (Be sure to include Dependent and Independent Variables and trials)

Vermiculture Project Grading Rubric

Names:

Period:

Table:

Your Vermiculture Project should include the following:

Graph
High Quality (81/2x11)
Includes Population, pH, Temperature and other changes you identified in your data.
Correlation Analysis
Describes Three correlations found on your graph
Experimental Design for testing one of the correlations. Design an experiment to test ONE of your correlations. Include the following elements
  1. Dependent Variable

  1. Independent Variable

  1. Variations

  1. Control

  1. Hypothesis

  1. Reasoning

  1. Factors kept the same for accuracy

  1. Number of samples or repetitions for precision

Procedure that explains how the experiment should be conducted including
  1. setting up the variations

  1. keeping the factors the same

  1. setting up samples or repetitions

  1. Empty Data Table (Be sure to include Dependent and Independent Variables and trials)