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Hypotheses can be broadly categorized into several types:

  1. Null Hypothesis (H0): This states that there is no effect or relationship between variables, serving as a default position to be tested against.
  2. Alternative Hypothesis (H1): This posits that there is an effect or relationship, representing the outcome the researcher seeks to support.
  3. Directional Hypothesis: This specifies the expected direction of the relationship or effect (e.g., one variable increases as another decreases).
  4. Non-Directional Hypothesis: This indicates that a relationship exists but does not specify its direction.

These frameworks help guide research design and statistical testing.

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