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Understanding Controlled Experiments and Hypothesis Testing
Apr 29, 2025
Controlled Experiments and Hypothesis Testing
What is a Controlled Experiment?
A controlled experiment is a test where all factors (variables) are kept constant except one.
It's designed to test a scientific hypothesis.
Purpose of a Controlled Experiment
To determine if a hypothesis is correct.
Allows for testing the effect of one variable, ensuring all other conditions are the same.
Designing a Controlled Experiment: Case Study on Fertilizer
Objective
: Test if a fertilizer makes plants grow bigger, lusher, and produce more.
Steps to Set Up
:
Select two plants of the same species (Plant A and Plant B) with identical size, health, and age.
Use identical pots and the same type and amount of soil for both plants.
Water both plants equally and place them in the same location to ensure equal sunlight and temperature exposure.
Variable Control
:
Everything kept the same except for the application of fertilizer.
Plant A receives fertilizer; Plant B does not.
Testing the Hypothesis
Hypothesis
: Plant A (with fertilizer) will grow bigger than Plant B (without fertilizer).
Data Collection
:
Regularly measure both plants over a set period (e.g., weekly for 3 months).
Record these measurements as data.
Analyzing Results
Compare growth measurements of Plant A and Plant B at the end of the experiment.
If Plant A grows bigger than Plant B, the results support the hypothesis.
Recap of Experimental Design Elements
Test
: Effectiveness of fertilizer on plant growth.
Hypothesis
: Fertilizer will make the plant grow bigger.
Measurements
: Growth of both plants.
Result Evaluation
: Hypothesis is supported if the fertilized plant (Plant A) grows larger than the non-fertilized plant (Plant B).
Variables in the Experiment
Independent Variable
: Fertilizer (what is changed/controlled by the experimenter).
Dependent Variable
: Plant growth (what is measured and expected to change in response to the independent variable).
Additional Learning
Further details on independent and dependent variables will be covered in another session.
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