Hi all,
I am trying to find the demographic association with with variable on customer engagement.
Need suggestion on two queries
1. is alternate hypothesis statement is correct ?
2. Is decision statements are correct?
Alternate hypothesis statement
There is significant association of gender with customer engagement
Decision rule
1 The Alpha value is taken as 0.05
2.Reject hypotheses, if the p-value is less than or equal to Alpha
3. Fail to Reject hypotheses, if the p-value is greater than or equal to Alpha
Pls help
Regards,
Uday Bhale
Perhaps the problem is "Reject hypotheses" and "Fail to reject hypotheses" doesn't designate which hypothesis you're talking about: null hypothesis or alternate hypothesis ?
Hi Sir,
If i write below decision rule , is it ok ? Kindly assist
Decision rule
1 The Alpha value is taken as 0.05
2.Reject alternate hypotheses, if the p-value is less than or equal to Alpha
3. Fail to Reject alternate hypotheses, if the p-value is greater than or equal to Alpha
Regard,
Uday Bhale
No, the decision rule rejects the null hypothesis when the p-value is less than or equal to alpha.
Hi Sir,
but its alternate hypothesis statements not null hypothesis
Regards,
Uday Bhale
The decision rule for a chi-square test of association is about the null hypothesis.
If you are looking to assess an alternative hypothesis, something like TOST (two one-sided test) might be appropriate, but I don't know precisely how this would be applied in a chi-square test situation.
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