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Doubt regarding Normality Testing

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  • #44035

    sai
    Member

    Could someone help me to clear my query. For normality testing, what hypothesis we should set for null and alternative?
    Regards,
    Sai
     

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    #140457

    indresh
    Participant

    Always remember this
    When P is high Null Should Fly
    In normality test Null Hypothesis is that the data is normal
    High p value we accept Null hypothesis
    rgds

    0
    #140458

    sai
    Member

    Dear Indresh,
    But null is what we are stuck with and alternative is what we want to prove it. Generally we would like our data to be normal to perform many tools, then how come null will be data is normal.
    Regards,
    Sai

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    #140459

    indresh
    Participant

    Yes we would like to proceed with normal data and null hypothesis shall be that the data is normal
    So whats the issue, did’nt quite get what you mean by your statement
     

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    #140461

    indresh
    Participant

    A null hypothesis (H0) is a stated assumption that there is no difference in parameters (mean, variance, DPMO) for two or more populations.
    Classic definition from this site itself
    i hope this makes things clear
    in cases where we wanna find out if there exist an relation between y and x , null would be no there does not hence less the p value we take that relationship exists. similarily if we are to find out is there any difference between these two populations etc null is that there is no difference and higher the p value higher the probability that there actually exist no relation or chances of there existing a relation is less.
    hope this helps
    rgds
     

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    #140463

    sai
    Member

    So if i am checking for normality through Minitab and if i get p-value of 0.567, it shows that your are accepting your data to be normal with such a greater risk. Am i right in this decision?
    Regrads
    Sai

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