Coconote
AI notes
AI voice & video notes
Try for free
🔍
Understanding Hypothesis Statements in Research
May 26, 2025
Lecture on Hypothesis Statements
Importance of Hypothesis Statements
Critical part of scientific reports
Typically one sentence
Must be considered before starting research and writing the report
Definition of Hypothesis
Proposed explanation for observations
Can be an educated guess
Acts as a prediction (e.g., if such and such, then this will happen)
Scientific Hypothesis
Must be testable and falsifiable
Predictions should be able to be tested through experiments
Designed considering equipment and conditions available
Variables in Hypotheses
Hypothesis proposes a relationship between variables
Independent Variable (IV):
The variable you change
Dependent Variable (DV):
The variable that is affected by changes in the IV
Writing a Hypothesis Statement
Often required in laboratory reports
Best placed at the end of the introduction section
A basic format: "If [independent variable], then [dependent variable]"
E.g., "If you change the IV, then the DV will change."
Testing Hypotheses
Experiments should be designed to support or falsify hypotheses
Valid results can support, falsify, or neither, but all outcomes contribute to knowledge
Characteristics of a Good Hypothesis
Relates an independent variable and a dependent variable
Must be testable and lead to clear experimental design
Should be simple, clear, and unambiguous
Must be safe, ethical, and preferably legal
Null Hypothesis
A special type of hypothesis indicating no effect or relationship
Preferred in scientific research for easier testing
Can be falsified, thereby indicating a relationship exists
Examples of Hypotheses
Simple Testable Hypothesis:
"If you drop a ball, it will fall toward the ground."
If-Then Hypothesis:
"If you increase light exposure for corn plants, they will grow faster."
Null Hypothesis:
"The rate of corn plant growth does not depend on light exposure."
Evaluating Hypotheses
Avoid non-specific or ambiguous hypotheses
Ensure clear, testable, and preferably null hypotheses for scientific purposes
Conclusion
Hypotheses guide the design of experiments
Must be planned and written before conducting experiments
Essential for scientific inquiry and advancement of knowledge
Final Remarks
Ensure hypotheses have clear variables and relationships
Design research around the hypothesis to support or falsify it
Null hypotheses simplify the process of scientific testing
📄
Full transcript