Six differences between the null hypothesis and the research hypothesis
Full Answer Section
- Burden of Proof:
- Null Hypothesis (H0): Assumed to be true unless evidence proves otherwise. (Easier to disprove than prove)
- Research Hypothesis (H1): Needs to be supported by the research data. (The researcher actively tries to prove it)
- Complexity:
- Null Hypothesis (H0): Generally simpler and more concise.
- Research Hypothesis (H1): Can be more complex and specific, depending on the research question.
- Example Focus:
- Null Hypothesis (H0): Focuses on "no change" or "no difference."
- Research Hypothesis (H1): Focuses on the predicted change or relationship.
- Decision Making:
- Null Hypothesis (H0): If we fail to reject H0, it suggests there isn't enough evidence for a relationship between variables, but it doesn't necessarily mean there isn't one.
- Research Hypothesis (H1): If we reject H0 and support H1, it suggests evidence for a relationship, but it doesn't guarantee a causal link.
- Wording:
- Null Hypothesis (H0): Often uses phrases like "no difference," "no effect," or "no association."
- Research Hypothesis (H1): Often uses phrases like "is greater than," "is less than," or "is correlated with."
Sample Solution
Null Hypothesis vs. Research Hypothesis: Key Differences
Here's a breakdown of the six key differences between the null hypothesis (H0) and the research hypothesis (H1):
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Directionality:
- Null Hypothesis (H0): States no difference or relationship between variables. It's the default assumption that the research aims to disprove. (e.g., There is no difference in student performance between online and in-person learning)
- Research Hypothesis (H1): Proposes a specific direction for a difference or relationship between variables. (e.g., Students will perform better in online learning environments compared to in-person classes)