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Worksheet for Scientific Method Involving Plants

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Worksheet for Scientific Method Involving Plants
WORKSHEET FOR SCIENTIFIC METHOD: PLANTS
LAB 1

1. Write your hypothesis (should be in a complete sentence and describe what exactly is being tested).

I think that the test group with the soap in it will cause the plant to die while the one that is not being affected by the soap continues to grow.

2. Describe your control group and your experimental group with regards to what variables were used in each.

Control Group: The group of flowers that will not be receiving any detergent/soap is the control group.

Experimental Group: The experimental group is the group being tested with the soap/detergent

3. Create a data table to show your results. This table should include an average for your experimental and control group. (You can create your table here or use a spreadsheet and submit it with your work – make sure your name and lab title is on your file.)

Independent Variable: Amount of Soap

Dependent Variable: Growth of plant

Hypothesis: The soap that is in the test group pot will cause the plant to die or maybe it will just stunt its growth, and the control group will not change.

Experiment:
1. Observe.
2. Find a problem: A horticulturist (plant scientist) complains to the city that a nearby residence is ruining his flowers because of the detergent being used to wash their cars. The soap runs into a stream that goes near his flower beds.
3. Record Data

Trial 1

Plant Growth

Group with soap/detergent
Day 1

Day 2

Day 3

Day 4
Group with soap/detergentDay 1Day 2Day 3Day 4
Group without soap/detergent
0.5 cm
0.5 cm
0.4 cm

0.7 cm
0.3 cm
0.9 cm
0.2 cm
1.2 cm

Trial 2

Group without soap/detergent0.40.40.30.3
Trial 3

Trial 4

Trial 5

4. Explain why you need a control group.

You need a control group to be able to compare results with your test group. You would not be able to tell if you proved your hypothesis or if it proved false unless you had data to compare.

5. Explain why an average is needed to compare your results. You need an average to compare the results, because it is the best way to compare the data from both groups.

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