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    • December 9, 2016 at 3:38 am #577
      kelly darney
      Member

      Hi. Can anyone explain whether alpha is used for rejection of null hypothesis or alternative hypothesis? I’m a bit confused. Anyone?

    • December 9, 2016 at 7:45 am #579
      StephenDah
      Member

      Alpha is denoted for the significance level in null hypothesis. It is mainly the probability of rejecting the null hypothesis when true. As far as I know, it is the highest value that we are willing to accept making mistakes.

      • December 9, 2016 at 9:20 am #583
        kelly darney
        Member

        That’s cool, but why do we frame null hypothesis? Only to reject it in the end?

    • December 10, 2016 at 4:27 am #585
      StephenDah
      Member

      See, the point is that when we do hypotheses testing in statistics, we always try to negate the opposite hypothesis i.e. null hypothesis but at the same time it’s next to impossible to affirm the hypothesis we are interested in. and we through our observations and research, null hypothesis can be specified easily but different is the matter with the other.

    • December 10, 2016 at 4:32 am #588
      StephenDah
      Member

      No, it never means that the null hypothesis is true if you are unable to reject hypothesis and false is the alternative. Lack of proofs, evidences and data can be one of the reasons for such failure.

    • December 11, 2016 at 8:14 am #586
      kelly darney
      Member

      And what if we fail to reject null hypothesis? The whole motive of ours will go in vain then.

    • December 13, 2016 at 4:34 am #589
      kelly darney
      Member

      Okay, got a rough idea now. Thanks.

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