can any one explain this?
p value is 0.0027 and Significance is 0.05,
the test is 2 tailed that is why i divided 0.05/2= 0.0025
and than compared p with signif. and by that Null not rejected, which is wrong.
So we have to direct compare 0.05 with 0.0027 or anything else please clarify i am confuse..!!
First of all it’s not 2 tail test as H0= Mean<=0, Ha=Mean>0
In test 1, Null Hypothesis is rejected as value of t stat is greater than value of t critical so it means value of t stat (1.792) is beyond the critical value of 1.685
In test 2, Null Hypothesis is rejected as p value (.27%) is small than significance level of 5%.
In both the cases H0 is rejected.
As we can see .27% is way smaller than 5% so evidence to reject the H0 is stronger than test 1 where 1.792 & 1.685 are not that far.
Sorry, miss interpreted its One tail test,
Thanks
But i still have one que
Lets suppose ke two tailed test hota thn we have to compare .0025 with p value? Right ?
In 2 tail test we did not divide significance value suppose significance level is 5% and p- value is 0.06 then we have to directly compare significance value p value. In this question it’s a one tail test & always think p- value as x bar & critical as (laxman rekha) .T statistics is 1.792 & p- value is 0.0027.P value ikam kone mei hai so test 2 is stronger
Shubham, p value ko humlog significance % se compare karenge na? Suppose p value .05 and significance level is 6% then p value<significance level so null hypothesis rejected.
Correct me if I'm wrong.
You're comparing p value to t statistics which is wrong na?
P-value is minimum point at which null hypothesis will be rejected.Always think p value as x bar.Compare pvalue with alpha suppose if alpha is 0.05 and p value is 0.02 then in that case we will reject the null hypothesis in previous explanation i write no. wrong i am comparing p value with significance or t critical