In hypothesis testing, . If the data are sufficiently strong to reject the null hypothesis, then the null hypothesis is rejected in favor of an alternative hypothesis. For instance, if the null hypothesis were that µ1= µ2 then the alternative hypothesis (for a two-tailed test) would be µ1 ≠ µ2.
So, we accept the alternative hypothesis, if the Null hypothesis is rejected.
Subscribe to:
Post Comments (Atom)
I really appreciate your efforts dear....
ReplyDeleteYou did a great job by posting such kind of blog as it would, anyhow, assist the students...
GREAT!