When it comes to statistics, the alternative hypothesis always trips me up a bit. Can someone break down what it actually means and how it’s used in hypothesis testing? Looking for a clear, straightforward explanation.
Thanks!
Do you already understand what a null hypothesis is? If yes, then the alternative hypothesis is simply the opposite of null. It basically just provides information on whether to accept or reject the null hypothesis.
It provides no indication of a high level of confidence in the null hypothesis. The point-null hypothesis of equal means is virtually always wrong in practical situations.
This implies, I believe, that I have greater faith in this alternative hypothesis than in the original null hypothesis.
Alright, no. Although your alternative null has a greater p-value than your original null, this does not indicate “confidence” in it.
Agreed. Confidence isn’t directly linked to p-value.