Want this question answered?
Yes, usually.
Rejecting a true null hypothesis.
Rejecting a true null hypothesis.
An alpha error is another name in statistics for a type I error, rejecting the null hypothesis when the null hypothesis is true.
The process is called hypothesis testing. If you are inquiring on how to prove or disprove a claim, search for the article on wikipedia.
Yes, usually.
Rejecting a true null hypothesis.
Rejecting a hypothesis shows you that it was wrong and it shows you what not to do. It can help lead you to a better, more accurate hypothesis the next time.
Rejecting null hypothesis means that rumour of a fact is been experimented in d lab and the reseacher later discovered that hypothesis pseudo i.e fack fact but not a theory
Increasing alpha from .01 to .05 will increase the probability of rejecting the null hypothesis when it is true.
sample size
The null hypothesis of the independent samples t-test is verbalized by either accepting or rejecting it due to the value of the t-test. If the value is less than 0.05 it is accepted and greater than 0.05 is rejecting it.
Father Time.
Rejecting a true null hypothesis.
An alpha error is another name in statistics for a type I error, rejecting the null hypothesis when the null hypothesis is true.
Probability of rejecting a true null hypothesis; that is, the alpha value or risk you are willing to take probabilistically speaking.
The process is called hypothesis testing. If you are inquiring on how to prove or disprove a claim, search for the article on wikipedia.