What are 2 types of hypothesis?
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Null Hypothesis: A statement asserting that there is no effect, no difference, or no relationship between variables.
Alternative Hypothesis: A statement indicating that there is an effect, a difference, or a relationship between variables, which researchers aim to support.
Null Hypothesis (H0): This hypothesis states that there is no effect, no difference, or no relationship between the variables being studied. It serves as the default or baseline assumption that researchers aim to test against.
Alternative Hypothesis (H1): This hypothesis posits that there is an effect, a difference, or a relationship between the variables. It represents the claim that researchers seek to support through their data analysis, contrasting with the null hypothesis.
- Null Hypothesis (H0): This is a statement of "no effect" or "no difference." It is the default assumption that there is no significant relationship or difference between variables.
- Alternative Hypothesis (H1): This is a statement that contradicts the null hypothesis. It suggests that there is a significant relationship or difference between variables.