If your p-value is 0.33 and your alpha level is 0.1 then you would:
If your p-value is 0.33 and your alpha level is 0.05 then you
would:
If your p-value is 0.33 and your alpha level is 0.01 then you
would:
If your p-value is 0.33 and your alpha level is 0.005 then you
would:
If your p-value is 0.33 and your alpha level is 0.001 then you
would:
If your p-value is 0.33 and your alpha level is 0.0005 then you
would:
If your p-value is 0.33 and your alpha level is 0.0001 then you
would:
If your p-value is 0.33, what is the most significant alpha
level?
Answer
when p value is less than the alpha level , then rejecting the null hypothesis (H0), if p value is greater than alpha , then do not rejecting H0.
1) p value = 0.33
= 0.1
since p value = 0.33 > = 0.1
so , fail to reject H0
2)
p value = 0.33
= 0.05
since p value = 0.33 > = 0.05
so , fail to reject H0
3)
p value = 0.33
= 0.01
since p value = 0.33 > = 0.01
so , fail to reject H0
4)
p value = 0.33
= 0.005
since p value = 0.33 > = 0.005
so , fail to reject H0
5)
p value = 0.33
= 0.001
since p value = 0.33 > = 0.001
so , fail to reject H0
6)
p value = 0.33
= 0.0005
since p value = 0.33 > = 0.0005
so , fail to reject H0
7)
p value = 0.33
= 0.0001
since p value = 0.33 > = 0.0001
so , fail to reject H0
8)
significance alpha level is the probability of rejecting th null hypothesis whn it is true,]
since given p value is greater than the all provided alpha level so,
there is no "most significant alpha level".
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