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  • When is a hypothesis accepted
  • When to reject null hypothesis t test

  • When to reject null hypothesis t test
  • When to accept null hypothesis
  • When to fail to reject null hypothesis
  • If we reject the null hypothesis, we conclude that
  • Reject null hypothesis example
  • When to fail to reject null hypothesis!

    A null hypothesis is a statistical concept suggesting no significant difference or relationship between measured variables. It’s the default assumption unless empirical evidence proves otherwise.

    The null hypothesis states no relationship exists between the two variables being studied (i.e., one variable does not affect the other).

    The null hypothesis is the statement that a researcher or an investigator wants to disprove.

    Testing the null hypothesis can tell you whether your results are due to the effects of manipulating ​the dependent variable or due to random chance.

    How to Write a Null Hypothesis

    Null hypotheses (H0) start as research questions that the investigator rephrases as statements indicating no effect or relationship between the independent and dependent variables.

    It is a default position that your research aims to challenge or confirm.

    For example, if studying the impact of exercise on weight loss, your null hypothesis might be:

    There is no significant difference in weight loss between individuals who exercise daily and those who do not.

    Example

      when is null hypothesis accepted in chi square
      when is null hypothesis accepted in t test